id	sid	tid	token	lemma	pos
cana-2553	1	1	communications	communication	NOUN
cana-2553	1	2	on	on	ADP
cana-2553	1	3	applied	apply	VERB
cana-2553	1	4	nonlinear	nonlinear	ADJ
cana-2553	1	5	analysis	analysis	NOUN
cana-2553	1	6	issn	issn	NOUN
cana-2553	1	7	:	:	PUNCT
cana-2553	1	8	1074	1074	NUM
cana-2553	1	9	-	-	PUNCT
cana-2553	1	10	133x	133x	NUM
cana-2553	1	11	vol	vol	NOUN
cana-2553	1	12	32	32	NUM
cana-2553	1	13	no	no	NOUN
cana-2553	1	14	.	.	PUNCT
cana-2553	2	1	3s	3s	NUM
cana-2553	2	2	(	(	PUNCT
cana-2553	2	3	2025	2025	NUM
cana-2553	2	4	)	)	PUNCT
cana-2553	2	5	91	91	NUM
cana-2553	2	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2553	2	7	intelligent	intelligent	ADJ
cana-2553	2	8	railways	railway	NOUN
cana-2553	2	9	:	:	PUNCT
cana-2553	2	10	leveraging	leverage	VERB
cana-2553	2	11	retrieval	retrieval	NOUN
cana-2553	2	12	-	-	PUNCT
cana-2553	2	13	augmented	augment	VERB
cana-2553	2	14	generation	generation	NOUN
cana-2553	2	15	for	for	ADP
cana-2553	2	16	smarter	smart	ADJ
cana-2553	2	17	systems	system	NOUN
cana-2553	2	18	gresha	gresha	PROPN
cana-2553	2	19	bhatia1	bhatia1	PROPN
cana-2553	2	20	,	,	PUNCT
cana-2553	2	21	rohini	rohini	PROPN
cana-2553	2	22	temkar2	temkar2	PROPN
cana-2553	2	23	,	,	PUNCT
cana-2553	2	24	aryan	aryan	ADJ
cana-2553	2	25	raje3	raje3	PROPN
cana-2553	2	26	,	,	PUNCT
cana-2553	2	27	arya	arya	PROPN
cana-2553	2	28	raje4	raje4	PROPN
cana-2553	2	29	,	,	PUNCT
cana-2553	2	30	ishita	ishita	PROPN
cana-2553	2	31	marathe5	marathe5	PROPN
cana-2553	2	32	,	,	PUNCT
cana-2553	2	33	prasad	prasad	PROPN
cana-2553	2	34	lahane6	lahane6	NOUN
cana-2553	2	35	gresha.bhatia@ves.ac.in1	gresha.bhatia@ves.ac.in1	X
cana-2553	2	36	,	,	PUNCT
cana-2553	2	37	rohini.temkar@ves.ac.in2	rohini.temkar@ves.ac.in2	CCONJ
cana-2553	2	38	,	,	PUNCT
cana-2553	2	39	d2021.aryan.raje@ves.ac.in3	d2021.aryan.raje@ves.ac.in3	NOUN
cana-2553	2	40	,	,	PUNCT
cana-2553	2	41	d2021.arya.raje@ves.ac.in4	d2021.arya.raje@ves.ac.in4	PROPN
cana-2553	2	42	,	,	PUNCT
cana-2553	2	43	d2021.ishita.marathe@ves.ac.in5	d2021.ishita.marathe@ves.ac.in5	NOUN
cana-2553	2	44	,	,	PUNCT
cana-2553	2	45	d2021.prasad.lahane@ves.ac.in6	d2021.prasad.lahane@ves.ac.in6	NOUN
cana-2553	2	46	1,2,3,4,5	1,2,3,4,5	NUM
cana-2553	2	47	department	department	NOUN
cana-2553	2	48	of	of	ADP
cana-2553	2	49	computer	computer	NOUN
cana-2553	2	50	engineering	engineering	NOUN
cana-2553	2	51	,	,	PUNCT
cana-2553	2	52	vesit	vesit	NOUN
cana-2553	2	53	,	,	PUNCT
cana-2553	2	54	mumbai	mumbai	PROPN
cana-2553	2	55	,	,	PUNCT
cana-2553	2	56	maharashtra	maharashtra	PROPN
cana-2553	2	57	,	,	PUNCT
cana-2553	2	58	india	india	PROPN
cana-2553	2	59	article	article	PROPN
cana-2553	2	60	history	history	NOUN
cana-2553	2	61	:	:	PUNCT
cana-2553	2	62	received	receive	VERB
cana-2553	2	63	:	:	PUNCT
cana-2553	2	64	20	20	NUM
cana-2553	2	65	-	-	SYM
cana-2553	2	66	09	09	NUM
cana-2553	2	67	-	-	PUNCT
cana-2553	2	68	2024	2024	NUM
cana-2553	2	69	revised	revise	VERB
cana-2553	2	70	:	:	PUNCT
cana-2553	2	71	03	03	NUM
cana-2553	2	72	-	-	SYM
cana-2553	2	73	11	11	NUM
cana-2553	2	74	-	-	PUNCT
cana-2553	2	75	2024	2024	NUM
cana-2553	2	76	accepted	accept	VERB
cana-2553	2	77	:	:	PUNCT
cana-2553	2	78	17	17	NUM
cana-2553	2	79	-	-	SYM
cana-2553	2	80	11	11	NUM
cana-2553	2	81	-	-	PUNCT
cana-2553	2	82	2024	2024	NUM
cana-2553	2	83	abstract	abstract	NOUN
cana-2553	2	84	:	:	PUNCT
cana-2553	2	85	in	in	ADP
cana-2553	2	86	an	an	DET
cana-2553	2	87	era	era	NOUN
cana-2553	2	88	for	for	ADP
cana-2553	2	89	faster	fast	ADJ
cana-2553	2	90	,	,	PUNCT
cana-2553	2	91	secure	secure	ADJ
cana-2553	2	92	and	and	CCONJ
cana-2553	2	93	convenient	convenient	ADJ
cana-2553	2	94	mode	mode	NOUN
cana-2553	2	95	of	of	ADP
cana-2553	2	96	travel	travel	NOUN
cana-2553	2	97	,	,	PUNCT
cana-2553	2	98	there	there	PRON
cana-2553	2	99	is	be	VERB
cana-2553	2	100	a	a	DET
cana-2553	2	101	need	need	NOUN
cana-2553	2	102	for	for	ADP
cana-2553	2	103	a	a	DET
cana-2553	2	104	system	system	NOUN
cana-2553	2	105	that	that	PRON
cana-2553	2	106	provides	provide	VERB
cana-2553	2	107	real	real	ADJ
cana-2553	2	108	time	time	NOUN
cana-2553	2	109	updates	update	VERB
cana-2553	2	110	this	this	DET
cana-2553	2	111	paper	paper	NOUN
cana-2553	2	112	presents	present	VERB
cana-2553	2	113	a	a	DET
cana-2553	2	114	technical	technical	ADJ
cana-2553	2	115	study	study	NOUN
cana-2553	2	116	on	on	ADP
cana-2553	2	117	the	the	DET
cana-2553	2	118	integration	integration	NOUN
cana-2553	2	119	of	of	ADP
cana-2553	2	120	retrieval	retrieval	NOUN
cana-2553	2	121	-	-	PUNCT
cana-2553	2	122	augmented	augment	VERB
cana-2553	2	123	generation	generation	NOUN
cana-2553	2	124	(	(	PUNCT
cana-2553	2	125	rag	rag	NOUN
cana-2553	2	126	)	)	PUNCT
cana-2553	2	127	systems	system	NOUN
cana-2553	2	128	within	within	ADP
cana-2553	2	129	railway	railway	NOUN
cana-2553	2	130	operations	operation	NOUN
cana-2553	2	131	,	,	PUNCT
cana-2553	2	132	emphasizing	emphasize	VERB
cana-2553	2	133	their	their	PRON
cana-2553	2	134	potential	potential	NOUN
cana-2553	2	135	to	to	PART
cana-2553	2	136	enhance	enhance	VERB
cana-2553	2	137	decision	decision	NOUN
cana-2553	2	138	-	-	PUNCT
cana-2553	2	139	making	making	NOUN
cana-2553	2	140	,	,	PUNCT
cana-2553	2	141	service	service	NOUN
cana-2553	2	142	delivery	delivery	NOUN
cana-2553	2	143	,	,	PUNCT
cana-2553	2	144	and	and	CCONJ
cana-2553	2	145	passenger	passenger	NOUN
cana-2553	2	146	engagement	engagement	NOUN
cana-2553	2	147	.	.	PUNCT
cana-2553	3	1	the	the	DET
cana-2553	3	2	study	study	NOUN
cana-2553	3	3	explores	explore	VERB
cana-2553	3	4	how	how	SCONJ
cana-2553	3	5	rag	rag	NOUN
cana-2553	3	6	systems	system	NOUN
cana-2553	3	7	can	can	AUX
cana-2553	3	8	streamline	streamline	VERB
cana-2553	3	9	processes	process	NOUN
cana-2553	3	10	by	by	ADP
cana-2553	3	11	providing	provide	VERB
cana-2553	3	12	accurate	accurate	ADJ
cana-2553	3	13	,	,	PUNCT
cana-2553	3	14	contextaware	contextaware	NOUN
cana-2553	3	15	responses	response	NOUN
cana-2553	3	16	to	to	ADP
cana-2553	3	17	inquiries	inquiry	NOUN
cana-2553	3	18	across	across	ADP
cana-2553	3	19	various	various	ADJ
cana-2553	3	20	railway	railway	NOUN
cana-2553	3	21	services	service	NOUN
cana-2553	3	22	,	,	PUNCT
cana-2553	3	23	including	include	VERB
cana-2553	3	24	ticketing	ticketing	NOUN
cana-2553	3	25	,	,	PUNCT
cana-2553	3	26	scheduling	scheduling	NOUN
cana-2553	3	27	,	,	PUNCT
cana-2553	3	28	and	and	CCONJ
cana-2553	3	29	customer	customer	NOUN
cana-2553	3	30	support	support	NOUN
cana-2553	3	31	.	.	PUNCT
cana-2553	4	1	the	the	DET
cana-2553	4	2	findings	finding	NOUN
cana-2553	4	3	highlight	highlight	VERB
cana-2553	4	4	key	key	ADJ
cana-2553	4	5	challenges	challenge	NOUN
cana-2553	4	6	such	such	ADJ
cana-2553	4	7	as	as	ADP
cana-2553	4	8	data	datum	NOUN
cana-2553	4	9	security	security	NOUN
cana-2553	4	10	,	,	PUNCT
cana-2553	4	11	infrastructure	infrastructure	NOUN
cana-2553	4	12	limitations	limitation	NOUN
cana-2553	4	13	,	,	PUNCT
cana-2553	4	14	and	and	CCONJ
cana-2553	4	15	the	the	DET
cana-2553	4	16	necessity	necessity	NOUN
cana-2553	4	17	for	for	ADP
cana-2553	4	18	specialized	specialized	ADJ
cana-2553	4	19	training	training	NOUN
cana-2553	4	20	,	,	PUNCT
cana-2553	4	21	while	while	SCONJ
cana-2553	4	22	also	also	ADV
cana-2553	4	23	emphasizing	emphasize	VERB
cana-2553	4	24	the	the	DET
cana-2553	4	25	operational	operational	ADJ
cana-2553	4	26	benefits	benefit	NOUN
cana-2553	4	27	,	,	PUNCT
cana-2553	4	28	including	include	VERB
cana-2553	4	29	improved	improved	ADJ
cana-2553	4	30	efficiency	efficiency	NOUN
cana-2553	4	31	and	and	CCONJ
cana-2553	4	32	greater	great	ADJ
cana-2553	4	33	accessibility	accessibility	NOUN
cana-2553	4	34	of	of	ADP
cana-2553	4	35	services	service	NOUN
cana-2553	4	36	.	.	PUNCT
cana-2553	5	1	the	the	DET
cana-2553	5	2	methodology	methodology	NOUN
cana-2553	5	3	encompasses	encompass	VERB
cana-2553	5	4	a	a	DET
cana-2553	5	5	comprehensive	comprehensive	ADJ
cana-2553	5	6	review	review	NOUN
cana-2553	5	7	of	of	ADP
cana-2553	5	8	existing	exist	VERB
cana-2553	5	9	rag	rag	NOUN
cana-2553	5	10	implementations	implementation	NOUN
cana-2553	5	11	in	in	ADP
cana-2553	5	12	transportation	transportation	NOUN
cana-2553	5	13	,	,	PUNCT
cana-2553	5	14	followed	follow	VERB
cana-2553	5	15	by	by	ADP
cana-2553	5	16	the	the	DET
cana-2553	5	17	design	design	NOUN
cana-2553	5	18	and	and	CCONJ
cana-2553	5	19	analysis	analysis	NOUN
cana-2553	5	20	of	of	ADP
cana-2553	5	21	a	a	DET
cana-2553	5	22	prototype	prototype	NOUN
cana-2553	5	23	system	system	NOUN
cana-2553	5	24	specifically	specifically	ADV
cana-2553	5	25	tailored	tailor	VERB
cana-2553	5	26	to	to	ADP
cana-2553	5	27	railway	railway	NOUN
cana-2553	5	28	needs	need	NOUN
cana-2553	5	29	,	,	PUNCT
cana-2553	5	30	utilizing	utilize	VERB
cana-2553	5	31	domain	domain	NOUN
cana-2553	5	32	-	-	PUNCT
cana-2553	5	33	specific	specific	ADJ
cana-2553	5	34	datasets	dataset	NOUN
cana-2553	5	35	and	and	CCONJ
cana-2553	5	36	natural	natural	ADJ
cana-2553	5	37	language	language	NOUN
cana-2553	5	38	queries	query	NOUN
cana-2553	5	39	.	.	PUNCT
cana-2553	6	1	this	this	DET
cana-2553	6	2	study	study	NOUN
cana-2553	6	3	offers	offer	VERB
cana-2553	6	4	valuable	valuable	ADJ
cana-2553	6	5	insights	insight	NOUN
cana-2553	6	6	into	into	ADP
cana-2553	6	7	the	the	DET
cana-2553	6	8	feasibility	feasibility	NOUN
cana-2553	6	9	and	and	CCONJ
cana-2553	6	10	scalability	scalability	NOUN
cana-2553	6	11	of	of	ADP
cana-2553	6	12	rag	rag	NOUN
cana-2553	6	13	systems	system	NOUN
cana-2553	6	14	for	for	ADP
cana-2553	6	15	enhancing	enhance	VERB
cana-2553	6	16	the	the	DET
cana-2553	6	17	efficiency	efficiency	NOUN
cana-2553	6	18	and	and	CCONJ
cana-2553	6	19	responsiveness	responsiveness	NOUN
cana-2553	6	20	of	of	ADP
cana-2553	6	21	railway	railway	NOUN
cana-2553	6	22	operations	operation	NOUN
cana-2553	6	23	.	.	PUNCT
cana-2553	7	1	keywords	keyword	NOUN
cana-2553	7	2	:	:	PUNCT
cana-2553	7	3	retrieval	retrieval	NOUN
cana-2553	7	4	augmented	augment	VERB
cana-2553	7	5	generation	generation	NOUN
cana-2553	7	6	,	,	PUNCT
cana-2553	7	7	railway	railway	NOUN
cana-2553	7	8	system	system	NOUN
cana-2553	7	9	,	,	PUNCT
cana-2553	7	10	public	public	ADJ
cana-2553	7	11	sector	sector	NOUN
cana-2553	7	12	,	,	PUNCT
cana-2553	7	13	large	large	ADJ
cana-2553	7	14	language	language	NOUN
cana-2553	7	15	model	model	NOUN
cana-2553	7	16	,	,	PUNCT
cana-2553	7	17	artificial	artificial	ADJ
cana-2553	7	18	intelligence	intelligence	NOUN
cana-2553	7	19	,	,	PUNCT
cana-2553	7	20	machine	machine	NOUN
cana-2553	7	21	learning	learning	NOUN
cana-2553	7	22	and	and	CCONJ
cana-2553	7	23	natural	natural	ADJ
cana-2553	7	24	language	language	NOUN
cana-2553	7	25	processing	processing	NOUN
cana-2553	7	26	algorithms	algorithm	NOUN
cana-2553	7	27	.	.	PUNCT
cana-2553	8	1	i.introduction	i.introduction	NOUN
cana-2553	8	2	as	as	ADP
cana-2553	8	3	per	per	ADP
cana-2553	8	4	the	the	DET
cana-2553	8	5	india	india	PROPN
cana-2553	8	6	brand	brand	PROPN
cana-2553	8	7	equity	equity	PROPN
cana-2553	8	8	foundation	foundation	PROPN
cana-2553	8	9	(	(	PUNCT
cana-2553	8	10	ibef	ibef	NOUN
cana-2553	8	11	)	)	PUNCT
cana-2553	8	12	site	site	NOUN
cana-2553	8	13	,	,	PUNCT
cana-2553	8	14	the	the	DET
cana-2553	8	15	rate	rate	NOUN
cana-2553	8	16	at	at	ADP
cana-2553	8	17	which	which	PRON
cana-2553	8	18	artificial	artificial	ADJ
cana-2553	8	19	intelligence	intelligence	NOUN
cana-2553	8	20	has	have	AUX
cana-2553	8	21	been	be	AUX
cana-2553	8	22	adopted	adopt	VERB
cana-2553	8	23	is	be	AUX
cana-2553	8	24	approximately	approximately	ADV
cana-2553	8	25	48	48	NUM
cana-2553	8	26	%	%	NOUN
cana-2553	8	27	in	in	ADP
cana-2553	8	28	the	the	DET
cana-2553	8	29	fy	fy	PROPN
cana-2553	8	30	2024	2024	NUM
cana-2553	8	31	and	and	CCONJ
cana-2553	8	32	is	be	AUX
cana-2553	8	33	expected	expect	VERB
cana-2553	8	34	to	to	PART
cana-2553	8	35	grow	grow	VERB
cana-2553	8	36	by	by	ADP
cana-2553	8	37	another	another	DET
cana-2553	8	38	5	5	NUM
cana-2553	8	39	-7	-7	NOUN
cana-2553	8	40	%	%	NOUN
cana-2553	8	41	in	in	ADP
cana-2553	8	42	the	the	DET
cana-2553	8	43	upcoming	upcoming	ADJ
cana-2553	8	44	year	year	NOUN
cana-2553	8	45	.	.	PUNCT
cana-2553	9	1	one	one	NUM
cana-2553	9	2	of	of	ADP
cana-2553	9	3	the	the	DET
cana-2553	9	4	major	major	NOUN
cana-2553	9	5	focuses	focus	VERB
cana-2553	9	6	for	for	ADP
cana-2553	9	7	development	development	NOUN
cana-2553	9	8	is	be	AUX
cana-2553	9	9	on	on	ADP
cana-2553	9	10	the	the	DET
cana-2553	9	11	infrastructure	infrastructure	NOUN
cana-2553	9	12	need	need	NOUN
cana-2553	9	13	.	.	PUNCT
cana-2553	10	1	figure	figure	NOUN
cana-2553	10	2	1	1	NUM
cana-2553	10	3	below	below	ADV
cana-2553	10	4	represents	represent	VERB
cana-2553	10	5	the	the	DET
cana-2553	10	6	passenger	passenger	NOUN
cana-2553	10	7	volume	volume	NOUN
cana-2553	10	8	over	over	ADP
cana-2553	10	9	years	year	NOUN
cana-2553	10	10	.	.	PUNCT
cana-2553	11	1	as	as	SCONJ
cana-2553	11	2	population	population	NOUN
cana-2553	11	3	grows	grow	VERB
cana-2553	11	4	as	as	ADV
cana-2553	11	5	well	well	ADV
cana-2553	11	6	as	as	ADP
cana-2553	11	7	economic	economic	ADJ
cana-2553	11	8	development	development	NOUN
cana-2553	11	9	,	,	PUNCT
cana-2553	11	10	there	there	PRON
cana-2553	11	11	is	be	VERB
cana-2553	11	12	a	a	DET
cana-2553	11	13	need	need	NOUN
cana-2553	11	14	to	to	PART
cana-2553	11	15	have	have	AUX
cana-2553	11	16	improved	improve	VERB
cana-2553	11	17	transport	transport	NOUN
cana-2553	11	18	infrastructure	infrastructure	NOUN
cana-2553	11	19	.	.	PUNCT
cana-2553	12	1	utilization	utilization	NOUN
cana-2553	12	2	of	of	ADP
cana-2553	12	3	state	state	NOUN
cana-2553	12	4	of	of	ADP
cana-2553	12	5	the	the	DET
cana-2553	12	6	art	art	NOUN
cana-2553	12	7	technology	technology	NOUN
cana-2553	12	8	in	in	ADP
cana-2553	12	9	the	the	DET
cana-2553	12	10	public	public	ADJ
cana-2553	12	11	transport	transport	NOUN
cana-2553	12	12	systems	system	NOUN
cana-2553	12	13	such	such	ADJ
cana-2553	12	14	as	as	ADP
cana-2553	12	15	the	the	DET
cana-2553	12	16	roads	road	NOUN
cana-2553	12	17	,	,	PUNCT
cana-2553	12	18	railways	railway	NOUN
cana-2553	12	19	,	,	PUNCT
cana-2553	12	20	aviation	aviation	NOUN
cana-2553	12	21	and	and	CCONJ
cana-2553	12	22	shipping	shipping	NOUN
cana-2553	12	23	forms	form	NOUN
cana-2553	12	24	the	the	DET
cana-2553	12	25	need	need	NOUN
cana-2553	12	26	of	of	ADP
cana-2553	12	27	the	the	DET
cana-2553	12	28	hour	hour	NOUN
cana-2553	12	29	.	.	PUNCT
cana-2553	13	1	this	this	DET
cana-2553	13	2	paper	paper	NOUN
cana-2553	13	3	elaborates	elaborate	VERB
cana-2553	13	4	on	on	ADP
cana-2553	13	5	the	the	DET
cana-2553	13	6	use	use	NOUN
cana-2553	13	7	of	of	ADP
cana-2553	13	8	retrieval	retrieval	NOUN
cana-2553	13	9	augmented	augment	VERB
cana-2553	13	10	generation	generation	NOUN
cana-2553	13	11	(	(	PUNCT
cana-2553	13	12	rag	rag	NOUN
cana-2553	13	13	)	)	PUNCT
cana-2553	13	14	for	for	ADP
cana-2553	13	15	the	the	DET
cana-2553	13	16	railway	railway	NOUN
cana-2553	13	17	sector	sector	NOUN
cana-2553	13	18	as	as	ADP
cana-2553	13	19	a	a	DET
cana-2553	13	20	transformative	transformative	ADJ
cana-2553	13	21	application	application	NOUN
cana-2553	13	22	in	in	ADP
cana-2553	13	23	travel	travel	NOUN
cana-2553	13	24	and	and	CCONJ
cana-2553	13	25	transportation	transportation	NOUN
cana-2553	13	26	.	.	PUNCT
cana-2553	14	1	the	the	DET
cana-2553	14	2	rapid	rapid	ADJ
cana-2553	14	3	evolution	evolution	NOUN
cana-2553	14	4	of	of	ADP
cana-2553	14	5	generative	generative	ADJ
cana-2553	14	6	ai	ai	NOUN
cana-2553	14	7	(	(	PUNCT
cana-2553	14	8	genai	genai	ADJ
cana-2553	14	9	)	)	PUNCT
cana-2553	14	10	and	and	CCONJ
cana-2553	14	11	highly	highly	ADV
cana-2553	14	12	intelligent	intelligent	ADJ
cana-2553	14	13	large	large	ADJ
cana-2553	14	14	language	language	NOUN
cana-2553	14	15	models	model	NOUN
cana-2553	14	16	(	(	PUNCT
cana-2553	14	17	llms	llm	NOUN
cana-2553	14	18	)	)	PUNCT
cana-2553	14	19	has	have	AUX
cana-2553	14	20	revolutionized	revolutionize	VERB
cana-2553	14	21	information	information	NOUN
cana-2553	14	22	retrieval	retrieval	NOUN
cana-2553	14	23	processes	process	NOUN
cana-2553	14	24	,	,	PUNCT
cana-2553	14	25	enabling	enable	VERB
cana-2553	14	26	more	more	ADV
cana-2553	14	27	precise	precise	ADJ
cana-2553	14	28	and	and	CCONJ
cana-2553	14	29	contextualized	contextualized	ADJ
cana-2553	14	30	responses	response	NOUN
cana-2553	14	31	.	.	PUNCT
cana-2553	15	1	these	these	DET
cana-2553	15	2	advancements	advancement	NOUN
cana-2553	15	3	have	have	AUX
cana-2553	15	4	given	give	VERB
cana-2553	15	5	rise	rise	NOUN
cana-2553	15	6	to	to	ADP
cana-2553	15	7	rag	rag	NOUN
cana-2553	15	8	as	as	ADP
cana-2553	15	9	an	an	DET
cana-2553	15	10	emerging	emerge	VERB
cana-2553	15	11	next	next	ADJ
cana-2553	15	12	-	-	PUNCT
cana-2553	15	13	generation	generation	NOUN
cana-2553	15	14	solution	solution	NOUN
cana-2553	15	15	,	,	PUNCT
cana-2553	15	16	blending	blend	VERB
cana-2553	15	17	real	real	ADJ
cana-2553	15	18	-	-	PUNCT
cana-2553	15	19	time	time	NOUN
cana-2553	15	20	retrieval	retrieval	NOUN
cana-2553	15	21	of	of	ADP
cana-2553	15	22	domain	domain	NOUN
cana-2553	15	23	-	-	PUNCT
cana-2553	15	24	specific	specific	ADJ
cana-2553	15	25	information	information	NOUN
cana-2553	15	26	with	with	ADP
cana-2553	15	27	the	the	DET
cana-2553	15	28	generative	generative	ADJ
cana-2553	15	29	capabilities	capability	NOUN
cana-2553	15	30	of	of	ADP
cana-2553	15	31	llms	llm	NOUN
cana-2553	15	32	.	.	PUNCT
cana-2553	16	1	mailto:gresha.bhatia@ves.ac.in	mailto:gresha.bhatia@ves.ac.in	PROPN
cana-2553	16	2	mailto:rohini.temkar@ves.ac.in	mailto:rohini.temkar@ves.ac.in	PROPN
cana-2553	16	3	mailto:d2021.aryan.raje@ves.ac.in	mailto:d2021.aryan.raje@ves.ac.in	ADV
cana-2553	16	4	mailto:d2021.arya.raje@ves.ac.in	mailto:d2021.arya.raje@ves.ac.in	VERB
cana-2553	16	5	mailto:d2021.ishita.marathe@ves.ac.in	mailto:d2021.ishita.marathe@ves.ac.in	AUX
cana-2553	17	1	mailto:d2021.prasad.lahane@ves.ac.in	mailto:d2021.prasad.lahane@ves.ac.in	CCONJ
cana-2553	18	1	communications	communication	NOUN
cana-2553	18	2	on	on	ADP
cana-2553	18	3	applied	apply	VERB
cana-2553	18	4	nonlinear	nonlinear	ADJ
cana-2553	18	5	analysis	analysis	NOUN
cana-2553	18	6	issn	issn	NOUN
cana-2553	18	7	:	:	PUNCT
cana-2553	18	8	1074	1074	NUM
cana-2553	18	9	-	-	PUNCT
cana-2553	18	10	133x	133x	NUM
cana-2553	18	11	vol	vol	NOUN
cana-2553	18	12	32	32	NUM
cana-2553	18	13	no	no	NOUN
cana-2553	18	14	.	.	PUNCT
cana-2553	19	1	3s	3s	NUM
cana-2553	19	2	(	(	PUNCT
cana-2553	19	3	2025	2025	NUM
cana-2553	19	4	)	)	PUNCT
cana-2553	19	5	92	92	NUM
cana-2553	19	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2553	19	7	figure	figure	NOUN
cana-2553	19	8	1	1	NUM
cana-2553	19	9	:	:	PUNCT
cana-2553	19	10	passenger	passenger	NOUN
cana-2553	19	11	volume	volume	NOUN
cana-2553	19	12	over	over	ADP
cana-2553	19	13	years	year	NOUN
cana-2553	19	14	.	.	PUNCT
cana-2553	20	1	source	source	NOUN
cana-2553	20	2	:	:	PUNCT
cana-2553	20	3	https://www.ibef.org	https://www.ibef.org	NUM
cana-2553	20	4	/	/	SYM
cana-2553	20	5	industry	industry	NOUN
cana-2553	20	6	/	/	SYM
cana-2553	20	7	indian	indian	ADJ
cana-2553	20	8	-	-	PUNCT
cana-2553	20	9	railways	railway	NOUN
cana-2553	20	10	/	/	SYM
cana-2553	20	11	infographic	infographic	NOUN
cana-2553	20	12	the	the	DET
cana-2553	20	13	paper	paper	NOUN
cana-2553	20	14	further	far	ADV
cana-2553	20	15	elaborates	elaborate	VERB
cana-2553	20	16	on	on	ADP
cana-2553	20	17	the	the	DET
cana-2553	20	18	related	related	ADJ
cana-2553	20	19	work	work	NOUN
cana-2553	20	20	done	do	VERB
cana-2553	20	21	in	in	ADP
cana-2553	20	22	this	this	DET
cana-2553	20	23	domain	domain	NOUN
cana-2553	20	24	in	in	ADP
cana-2553	20	25	section	section	PROPN
cana-2553	20	26	ii	ii	PROPN
cana-2553	20	27	.	.	PUNCT
cana-2553	21	1	the	the	DET
cana-2553	21	2	limitations	limitation	NOUN
cana-2553	21	3	observed	observe	VERB
cana-2553	21	4	in	in	ADP
cana-2553	21	5	the	the	DET
cana-2553	21	6	existing	exist	VERB
cana-2553	21	7	systems	system	NOUN
cana-2553	21	8	are	be	AUX
cana-2553	21	9	expressed	express	VERB
cana-2553	21	10	in	in	ADP
cana-2553	21	11	section	section	PROPN
cana-2553	21	12	iii	iii	PROPN
cana-2553	21	13	.	.	PUNCT
cana-2553	22	1	this	this	PRON
cana-2553	22	2	is	be	AUX
cana-2553	22	3	then	then	ADV
cana-2553	22	4	followed	follow	VERB
cana-2553	22	5	by	by	ADP
cana-2553	22	6	the	the	DET
cana-2553	22	7	process	process	NOUN
cana-2553	22	8	of	of	ADP
cana-2553	22	9	retrieval	retrieval	NOUN
cana-2553	22	10	augmentation	augmentation	NOUN
cana-2553	22	11	generation	generation	NOUN
cana-2553	22	12	in	in	ADP
cana-2553	22	13	section	section	NOUN
cana-2553	22	14	iv	iv	NUM
cana-2553	22	15	.	.	PUNCT
cana-2553	23	1	the	the	DET
cana-2553	23	2	queries	query	NOUN
cana-2553	23	3	posted	post	VERB
cana-2553	23	4	and	and	CCONJ
cana-2553	23	5	the	the	DET
cana-2553	23	6	answers	answer	NOUN
cana-2553	23	7	generated	generate	VERB
cana-2553	23	8	through	through	ADP
cana-2553	23	9	the	the	DET
cana-2553	23	10	rag	rag	NOUN
cana-2553	23	11	component	component	NOUN
cana-2553	23	12	forms	form	VERB
cana-2553	23	13	a	a	DET
cana-2553	23	14	crucial	crucial	ADJ
cana-2553	23	15	part	part	NOUN
cana-2553	23	16	for	for	ADP
cana-2553	23	17	the	the	DET
cana-2553	23	18	users	user	NOUN
cana-2553	23	19	as	as	SCONJ
cana-2553	23	20	the	the	DET
cana-2553	23	21	answers	answer	NOUN
cana-2553	23	22	generated	generate	VERB
cana-2553	23	23	give	give	VERB
cana-2553	23	24	a	a	DET
cana-2553	23	25	real	real	ADJ
cana-2553	23	26	time	time	NOUN
cana-2553	23	27	scenario	scenario	NOUN
cana-2553	23	28	of	of	ADP
cana-2553	23	29	the	the	DET
cana-2553	23	30	arrival	arrival	NOUN
cana-2553	23	31	and	and	CCONJ
cana-2553	23	32	departure	departure	NOUN
cana-2553	23	33	of	of	ADP
cana-2553	23	34	the	the	DET
cana-2553	23	35	trains	train	NOUN
cana-2553	23	36	on	on	ADP
cana-2553	23	37	a	a	DET
cana-2553	23	38	specific	specific	ADJ
cana-2553	23	39	platform	platform	NOUN
cana-2553	23	40	.	.	PUNCT
cana-2553	24	1	this	this	PRON
cana-2553	24	2	is	be	AUX
cana-2553	24	3	elaborated	elaborate	VERB
cana-2553	24	4	in	in	ADP
cana-2553	24	5	section	section	NOUN
cana-2553	24	6	v	v	NOUN
cana-2553	24	7	through	through	ADP
cana-2553	24	8	the	the	DET
cana-2553	24	9	algorithm	algorithm	NOUN
cana-2553	24	10	and	and	CCONJ
cana-2553	24	11	the	the	DET
cana-2553	24	12	process	process	NOUN
cana-2553	24	13	design	design	NOUN
cana-2553	24	14	section	section	NOUN
cana-2553	24	15	.	.	PUNCT
cana-2553	25	1	implementation	implementation	NOUN
cana-2553	25	2	of	of	ADP
cana-2553	25	3	the	the	DET
cana-2553	25	4	proposed	propose	VERB
cana-2553	25	5	system	system	NOUN
cana-2553	25	6	through	through	ADP
cana-2553	25	7	various	various	ADJ
cana-2553	25	8	natural	natural	ADJ
cana-2553	25	9	language	language	NOUN
cana-2553	25	10	processing	processing	NOUN
cana-2553	25	11	and	and	CCONJ
cana-2553	25	12	deep	deep	ADJ
cana-2553	25	13	learning	learning	NOUN
cana-2553	25	14	algorithms	algorithm	NOUN
cana-2553	25	15	such	such	ADJ
cana-2553	25	16	as	as	ADP
cana-2553	25	17	open	open	ADJ
cana-2553	25	18	ai	ai	NOUN
cana-2553	25	19	,	,	PUNCT
cana-2553	25	20	google	google	PROPN
cana-2553	25	21	generative	generative	PROPN
cana-2553	25	22	ai	ai	PROPN
cana-2553	25	23	,	,	PUNCT
cana-2553	25	24	hugging	hug	VERB
cana-2553	25	25	face	face	NOUN
cana-2553	25	26	are	be	AUX
cana-2553	25	27	focussed	focusse	VERB
cana-2553	25	28	upon	upon	SCONJ
cana-2553	25	29	in	in	ADP
cana-2553	25	30	section	section	NOUN
cana-2553	25	31	vi	vi	PROPN
cana-2553	25	32	along	along	ADP
cana-2553	25	33	with	with	ADP
cana-2553	25	34	machine	machine	NOUN
cana-2553	25	35	learning	learn	VERB
cana-2553	25	36	algorithms	algorithm	NOUN
cana-2553	25	37	.	.	PUNCT
cana-2553	26	1	evaluation	evaluation	NOUN
cana-2553	26	2	measures	measure	NOUN
cana-2553	26	3	are	be	AUX
cana-2553	26	4	elaborated	elaborate	VERB
cana-2553	26	5	upon	upon	SCONJ
cana-2553	26	6	in	in	ADP
cana-2553	26	7	section	section	NOUN
cana-2553	26	8	vii	vii	PROPN
cana-2553	26	9	.	.	PUNCT
cana-2553	27	1	this	this	PRON
cana-2553	27	2	is	be	AUX
cana-2553	27	3	followed	follow	VERB
cana-2553	27	4	by7	by7	ADJ
cana-2553	27	5	the	the	DET
cana-2553	27	6	results	result	NOUN
cana-2553	27	7	of	of	ADP
cana-2553	27	8	the	the	DET
cana-2553	27	9	proposed	propose	VERB
cana-2553	27	10	system	system	NOUN
cana-2553	27	11	.	.	PUNCT
cana-2553	28	1	section	section	NOUN
cana-2553	28	2	viii	viii	NOUN
cana-2553	28	3	and	and	CCONJ
cana-2553	28	4	section	section	NOUN
cana-2553	28	5	ix	ix	PRON
cana-2553	28	6	then	then	ADV
cana-2553	28	7	represent	represent	VERB
cana-2553	28	8	the	the	DET
cana-2553	28	9	conclusion	conclusion	NOUN
cana-2553	28	10	and	and	CCONJ
cana-2553	28	11	the	the	DET
cana-2553	28	12	future	future	ADJ
cana-2553	28	13	work	work	NOUN
cana-2553	28	14	respectively	respectively	ADV
cana-2553	28	15	.	.	PUNCT
cana-2553	29	1	ii.related	ii.relate	VERB
cana-2553	29	2	work	work	NOUN
cana-2553	29	3	the	the	DET
cana-2553	29	4	literature	literature	NOUN
cana-2553	29	5	survey	survey	NOUN
cana-2553	29	6	undertaken	undertake	VERB
cana-2553	29	7	for	for	ADP
cana-2553	29	8	the	the	DET
cana-2553	29	9	above	above	ADJ
cana-2553	29	10	mentioned	mention	VERB
cana-2553	29	11	problem	problem	NOUN
cana-2553	29	12	consists	consist	VERB
cana-2553	29	13	of	of	ADP
cana-2553	29	14	understanding	understanding	NOUN
cana-2553	29	15	that	that	PRON
cana-2553	29	16	railways	railway	VERB
cana-2553	29	17	being	be	AUX
cana-2553	29	18	a	a	DET
cana-2553	29	19	part	part	NOUN
cana-2553	29	20	of	of	ADP
cana-2553	29	21	the	the	DET
cana-2553	29	22	public	public	ADJ
cana-2553	29	23	sector	sector	NOUN
cana-2553	29	24	,	,	PUNCT
cana-2553	29	25	has	have	VERB
cana-2553	29	26	to	to	PART
cana-2553	29	27	have	have	VERB
cana-2553	29	28	a	a	DET
cana-2553	29	29	lot	lot	NOUN
cana-2553	29	30	of	of	ADP
cana-2553	29	31	real	real	ADJ
cana-2553	29	32	time	time	NOUN
cana-2553	29	33	,	,	PUNCT
cana-2553	29	34	accurate	accurate	ADJ
cana-2553	29	35	,	,	PUNCT
cana-2553	29	36	precise	precise	ADJ
cana-2553	29	37	and	and	CCONJ
cana-2553	29	38	day	day	NOUN
cana-2553	29	39	to	to	ADP
cana-2553	29	40	day	day	NOUN
cana-2553	29	41	information	information	NOUN
cana-2553	29	42	to	to	PART
cana-2553	29	43	be	be	AUX
cana-2553	29	44	stored	store	VERB
cana-2553	29	45	,	,	PUNCT
cana-2553	29	46	processed	process	VERB
cana-2553	29	47	and	and	CCONJ
cana-2553	29	48	analyzed	analyze	VERB
cana-2553	29	49	.	.	PUNCT
cana-2553	30	1	these	these	DET
cana-2553	30	2	vast	vast	ADJ
cana-2553	30	3	datasets	dataset	NOUN
cana-2553	30	4	are	be	AUX
cana-2553	30	5	crucial	crucial	ADJ
cana-2553	30	6	for	for	ADP
cana-2553	30	7	decisionmaking	decisionmake	VERB
cana-2553	30	8	and	and	CCONJ
cana-2553	30	9	service	service	NOUN
cana-2553	30	10	delivery	delivery	NOUN
cana-2553	30	11	,	,	PUNCT
cana-2553	30	12	thus	thus	ADV
cana-2553	30	13	it	it	PRON
cana-2553	30	14	was	be	AUX
cana-2553	30	15	observed	observe	VERB
cana-2553	30	16	that	that	SCONJ
cana-2553	30	17	rag	rag	NOUN
cana-2553	30	18	systems	system	NOUN
cana-2553	30	19	combine	combine	VERB
cana-2553	30	20	retrieval	retrieval	NOUN
cana-2553	30	21	-	-	PUNCT
cana-2553	30	22	based	base	VERB
cana-2553	30	23	and	and	CCONJ
cana-2553	30	24	generative	generative	ADJ
cana-2553	30	25	models	model	NOUN
cana-2553	30	26	to	to	PART
cana-2553	30	27	provide	provide	VERB
cana-2553	30	28	accurate	accurate	ADJ
cana-2553	30	29	,	,	PUNCT
cana-2553	30	30	contextually	contextually	ADV
cana-2553	30	31	aware	aware	ADJ
cana-2553	30	32	responses	response	NOUN
cana-2553	30	33	.	.	PUNCT
cana-2553	31	1	with	with	ADP
cana-2553	31	2	platforms	platform	NOUN
cana-2553	31	3	like	like	ADP
cana-2553	31	4	openai	openai	NOUN
cana-2553	31	5	reaching	reach	VERB
cana-2553	31	6	over	over	ADP
cana-2553	31	7	100	100	NUM
cana-2553	31	8	million	million	NUM
cana-2553	31	9	active	active	ADJ
cana-2553	31	10	users	user	NOUN
cana-2553	31	11	within	within	ADP
cana-2553	31	12	months	month	NOUN
cana-2553	31	13	of	of	ADP
cana-2553	31	14	launch	launch	NOUN
cana-2553	31	15	,	,	PUNCT
cana-2553	31	16	the	the	DET
cana-2553	31	17	growing	grow	VERB
cana-2553	31	18	reliance	reliance	NOUN
cana-2553	31	19	on	on	ADP
cana-2553	31	20	ai	ai	ADJ
cana-2553	31	21	-	-	PUNCT
cana-2553	31	22	driven	drive	VERB
cana-2553	31	23	tools	tool	NOUN
cana-2553	31	24	was	be	AUX
cana-2553	31	25	evident	evident	ADJ
cana-2553	31	26	.	.	PUNCT
cana-2553	32	1	this	this	DET
cana-2553	32	2	study	study	NOUN
cana-2553	32	3	therefore	therefore	ADV
cana-2553	32	4	addresses	address	VERB
cana-2553	32	5	the	the	DET
cana-2553	32	6	inefficiencies	inefficiency	NOUN
cana-2553	32	7	in	in	ADP
cana-2553	32	8	traditional	traditional	ADJ
cana-2553	32	9	public	public	ADJ
cana-2553	32	10	sector	sector	NOUN
cana-2553	32	11	information	information	NOUN
cana-2553	32	12	retrieval	retrieval	NOUN
cana-2553	32	13	,	,	PUNCT
cana-2553	32	14	which	which	PRON
cana-2553	32	15	often	often	ADV
cana-2553	32	16	leads	lead	VERB
cana-2553	32	17	to	to	ADP
cana-2553	32	18	delays	delay	NOUN
cana-2553	32	19	and	and	CCONJ
cana-2553	32	20	lack	lack	NOUN
cana-2553	32	21	of	of	ADP
cana-2553	32	22	personalization	personalization	NOUN
cana-2553	32	23	.	.	PUNCT
cana-2553	33	1	in	in	ADP
cana-2553	33	2	paper	paper	NOUN
cana-2553	33	3	[	[	X
cana-2553	33	4	4	4	X
cana-2553	33	5	]	]	PUNCT
cana-2553	33	6	the	the	DET
cana-2553	33	7	authors	author	NOUN
cana-2553	33	8	highlighted	highlight	VERB
cana-2553	33	9	the	the	DET
cana-2553	33	10	logistical	logistical	ADJ
cana-2553	33	11	and	and	CCONJ
cana-2553	33	12	financial	financial	ADJ
cana-2553	33	13	decline	decline	NOUN
cana-2553	33	14	of	of	ADP
cana-2553	33	15	indian	indian	ADJ
cana-2553	33	16	railways	railway	NOUN
cana-2553	33	17	,	,	PUNCT
cana-2553	33	18	emphasizing	emphasize	VERB
cana-2553	33	19	problems	problem	NOUN
cana-2553	33	20	like	like	ADP
cana-2553	33	21	a	a	DET
cana-2553	33	22	poor	poor	ADJ
cana-2553	33	23	operating	operating	NOUN
cana-2553	33	24	ratio	ratio	NOUN
cana-2553	33	25	(	(	PUNCT
cana-2553	33	26	or	or	CCONJ
cana-2553	33	27	)	)	PUNCT
cana-2553	33	28	,	,	PUNCT
cana-2553	33	29	cost	cost	NOUN
cana-2553	33	30	of	of	ADP
cana-2553	33	31	revenue	revenue	NOUN
cana-2553	33	32	(	(	PUNCT
cana-2553	33	33	cor	cor	NOUN
cana-2553	33	34	)	)	PUNCT
cana-2553	33	35	,	,	PUNCT
cana-2553	33	36	and	and	CCONJ
cana-2553	33	37	return	return	VERB
cana-2553	33	38	on	on	ADP
cana-2553	33	39	logistics	logistic	NOUN
cana-2553	33	40	assets	asset	NOUN
cana-2553	33	41	ratio	ratio	NOUN
cana-2553	33	42	(	(	PUNCT
cana-2553	33	43	rolar	rolar	NOUN
cana-2553	33	44	)	)	PUNCT
cana-2553	33	45	,	,	PUNCT
cana-2553	33	46	signaling	signal	VERB
cana-2553	33	47	a	a	DET
cana-2553	33	48	need	need	NOUN
cana-2553	33	49	for	for	ADP
cana-2553	33	50	deeper	deep	ADJ
cana-2553	33	51	analysis	analysis	NOUN
cana-2553	33	52	of	of	ADP
cana-2553	33	53	these	these	DET
cana-2553	33	54	issues	issue	NOUN
cana-2553	33	55	.	.	PUNCT
cana-2553	34	1	in	in	ADP
cana-2553	34	2	[	[	X
cana-2553	34	3	7	7	X
cana-2553	34	4	]	]	PUNCT
cana-2553	34	5	the	the	DET
cana-2553	34	6	paper	paper	NOUN
cana-2553	34	7	identifies	identify	VERB
cana-2553	34	8	common	common	ADJ
cana-2553	34	9	failure	failure	NOUN
cana-2553	34	10	points	point	NOUN
cana-2553	34	11	when	when	SCONJ
cana-2553	34	12	engineering	engineering	NOUN
cana-2553	34	13	rag	rag	NOUN
cana-2553	34	14	systems	system	NOUN
cana-2553	34	15	in	in	ADP
cana-2553	34	16	diverse	diverse	ADJ
cana-2553	34	17	domains	domain	NOUN
cana-2553	34	18	(	(	PUNCT
cana-2553	34	19	research	research	NOUN
cana-2553	34	20	,	,	PUNCT
cana-2553	34	21	education	education	NOUN
cana-2553	34	22	,	,	PUNCT
cana-2553	34	23	and	and	CCONJ
cana-2553	34	24	biomedical	biomedical	ADJ
cana-2553	34	25	)	)	PUNCT
cana-2553	34	26	,	,	PUNCT
cana-2553	34	27	stressing	stress	VERB
cana-2553	34	28	the	the	DET
cana-2553	34	29	challenges	challenge	NOUN
cana-2553	34	30	and	and	CCONJ
cana-2553	34	31	necessary	necessary	ADJ
cana-2553	34	32	refinements	refinement	NOUN
cana-2553	34	33	for	for	ADP
cana-2553	34	34	robust	robust	ADJ
cana-2553	34	35	system	system	NOUN
cana-2553	34	36	performance	performance	NOUN
cana-2553	34	37	.	.	PUNCT
cana-2553	35	1	in	in	ADP
cana-2553	35	2	[	[	X
cana-2553	35	3	1	1	X
cana-2553	35	4	]	]	PUNCT
cana-2553	35	5	the	the	DET
cana-2553	35	6	research	research	NOUN
cana-2553	35	7	introduces	introduce	VERB
cana-2553	35	8	the	the	DET
cana-2553	35	9	rag	rag	NOUN
cana-2553	35	10	model	model	NOUN
cana-2553	35	11	,	,	PUNCT
cana-2553	35	12	utilizing	utilize	VERB
cana-2553	35	13	pre	pre	ADJ
cana-2553	35	14	-	-	ADJ
cana-2553	35	15	trained	train	VERB
cana-2553	35	16	seq2seq	seq2seq	NOUN
cana-2553	35	17	models	model	NOUN
cana-2553	35	18	(	(	PUNCT
cana-2553	35	19	parametric	parametric	ADJ
cana-2553	35	20	memory	memory	NOUN
cana-2553	35	21	)	)	PUNCT
cana-2553	35	22	and	and	CCONJ
cana-2553	35	23	dense	dense	ADJ
cana-2553	35	24	vector	vector	NOUN
cana-2553	35	25	indexing	indexing	NOUN
cana-2553	35	26	of	of	ADP
cana-2553	35	27	wikipedia	wikipedia	PROPN
cana-2553	35	28	(	(	PUNCT
cana-2553	35	29	non	non	ADJ
cana-2553	35	30	-	-	ADJ
cana-2553	35	31	parametric	parametric	ADJ
cana-2553	35	32	memory	memory	NOUN
cana-2553	35	33	)	)	PUNCT
cana-2553	35	34	for	for	ADP
cana-2553	35	35	knowledge	knowledge	NOUN
cana-2553	35	36	-	-	PUNCT
cana-2553	35	37	intensive	intensive	ADJ
cana-2553	35	38	nlp	nlp	NOUN
cana-2553	35	39	tasks	task	NOUN
cana-2553	35	40	.	.	PUNCT
cana-2553	36	1	paper	paper	NOUN
cana-2553	37	1	[	[	X
cana-2553	37	2	8	8	NUM
cana-2553	37	3	]	]	PUNCT
cana-2553	37	4	focussed	focusse	VERB
cana-2553	37	5	on	on	ADP
cana-2553	37	6	fine	fine	ADV
cana-2553	37	7	-	-	PUNCT
cana-2553	37	8	tuning	tune	VERB
cana-2553	37	9	rag	rag	NOUN
cana-2553	37	10	architectures	architecture	NOUN
cana-2553	37	11	,	,	PUNCT
cana-2553	37	12	particularly	particularly	ADV
cana-2553	37	13	the	the	DET
cana-2553	37	14	dpr	dpr	PROPN
cana-2553	37	15	retriever	retriever	NOUN
cana-2553	37	16	,	,	PUNCT
cana-2553	37	17	while	while	SCONJ
cana-2553	37	18	addressing	address	VERB
cana-2553	37	19	the	the	DET
cana-2553	37	20	engineering	engineering	NOUN
cana-2553	37	21	complexities	complexity	NOUN
cana-2553	37	22	that	that	PRON
cana-2553	37	23	arise	arise	VERB
cana-2553	37	24	in	in	ADP
cana-2553	37	25	end	end	NOUN
cana-2553	37	26	-	-	PUNCT
cana-2553	37	27	to	to	ADP
cana-2553	37	28	-	-	PUNCT
cana-2553	37	29	end	end	NOUN
cana-2553	37	30	tuning	tuning	NOUN
cana-2553	37	31	for	for	ADP
cana-2553	37	32	effective	effective	ADJ
cana-2553	37	33	question	question	NOUN
cana-2553	37	34	-	-	PUNCT
cana-2553	37	35	answering	answering	NOUN
cana-2553	37	36	.	.	PUNCT
cana-2553	38	1	in	in	ADP
cana-2553	38	2	paper	paper	NOUN
cana-2553	38	3	[	[	X
cana-2553	38	4	9	9	X
cana-2553	38	5	]	]	PUNCT
cana-2553	38	6	the	the	DET
cana-2553	38	7	authors	author	NOUN
cana-2553	38	8	demonstrated	demonstrate	VERB
cana-2553	38	9	the	the	DET
cana-2553	38	10	superior	superior	ADJ
cana-2553	38	11	performance	performance	NOUN
cana-2553	38	12	of	of	ADP
cana-2553	38	13	rag	rag	NOUN
cana-2553	38	14	-	-	PUNCT
cana-2553	38	15	based	base	VERB
cana-2553	38	16	agents	agent	NOUN
cana-2553	38	17	over	over	ADP
cana-2553	38	18	existing	exist	VERB
cana-2553	38	19	llms	llm	NOUN
cana-2553	38	20	in	in	ADP
cana-2553	38	21	science	science	NOUN
cana-2553	38	22	-	-	PUNCT
cana-2553	38	23	based	base	VERB
cana-2553	38	24	qa	qa	PROPN
cana-2553	38	25	benchmarks	benchmark	NOUN
cana-2553	38	26	,	,	PUNCT
cana-2553	38	27	underscoring	underscore	VERB
cana-2553	38	28	its	its	PRON
cana-2553	38	29	efficacy	efficacy	NOUN
cana-2553	38	30	in	in	ADP
cana-2553	38	31	scientific	scientific	ADJ
cana-2553	38	32	research	research	NOUN
cana-2553	38	33	applications	application	NOUN
cana-2553	38	34	.	.	PUNCT
cana-2553	39	1	paper	paper	NOUN
cana-2553	40	1	[	[	X
cana-2553	40	2	10	10	NUM
cana-2553	40	3	]	]	PUNCT
cana-2553	40	4	offered	offer	VERB
cana-2553	40	5	a	a	DET
cana-2553	40	6	https://www.ibef.org/industry/indian-railways/infographic	https://www.ibef.org/industry/indian-railways/infographic	ADJ
cana-2553	40	7	communications	communication	NOUN
cana-2553	40	8	on	on	ADP
cana-2553	40	9	applied	apply	VERB
cana-2553	40	10	nonlinear	nonlinear	ADJ
cana-2553	40	11	analysis	analysis	NOUN
cana-2553	40	12	issn	issn	NOUN
cana-2553	40	13	:	:	PUNCT
cana-2553	40	14	1074	1074	NUM
cana-2553	40	15	-	-	PUNCT
cana-2553	40	16	133x	133x	NUM
cana-2553	40	17	vol	vol	NOUN
cana-2553	40	18	32	32	NUM
cana-2553	40	19	no	no	NOUN
cana-2553	40	20	.	.	PUNCT
cana-2553	41	1	3s	3s	NUM
cana-2553	41	2	(	(	PUNCT
cana-2553	41	3	2025	2025	NUM
cana-2553	41	4	)	)	PUNCT
cana-2553	41	5	93	93	NUM
cana-2553	42	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	42	2	comprehensive	comprehensive	ADJ
cana-2553	42	3	review	review	NOUN
cana-2553	42	4	of	of	ADP
cana-2553	42	5	the	the	DET
cana-2553	42	6	advancements	advancement	NOUN
cana-2553	42	7	in	in	ADP
cana-2553	42	8	rag	rag	NOUN
cana-2553	42	9	systems	system	NOUN
cana-2553	42	10	,	,	PUNCT
cana-2553	42	11	exploring	explore	VERB
cana-2553	42	12	critical	critical	ADJ
cana-2553	42	13	components	component	NOUN
cana-2553	42	14	,	,	PUNCT
cana-2553	42	15	evaluation	evaluation	NOUN
cana-2553	42	16	frameworks	framework	NOUN
cana-2553	42	17	,	,	PUNCT
cana-2553	42	18	and	and	CCONJ
cana-2553	42	19	cutting	cutting	NOUN
cana-2553	42	20	-	-	PUNCT
cana-2553	42	21	edge	edge	NOUN
cana-2553	42	22	technologies.flashrag	technologies.flashrag	NUM
cana-2553	42	23	toolkit	toolkit	NOUN
cana-2553	42	24	that	that	PRON
cana-2553	42	25	supported	support	VERB
cana-2553	42	26	modular	modular	ADJ
cana-2553	42	27	and	and	CCONJ
cana-2553	42	28	efficient	efficient	ADJ
cana-2553	42	29	rag	rag	NOUN
cana-2553	42	30	research	research	NOUN
cana-2553	42	31	through	through	ADP
cana-2553	42	32	12	12	NUM
cana-2553	42	33	advanced	advanced	ADJ
cana-2553	42	34	rag	rag	NOUN
cana-2553	42	35	methods	method	NOUN
cana-2553	42	36	was	be	AUX
cana-2553	42	37	elaborated	elaborate	VERB
cana-2553	42	38	on	on	ADP
cana-2553	42	39	in	in	ADP
cana-2553	42	40	paper	paper	NOUN
cana-2553	42	41	[	[	X
cana-2553	42	42	11	11	NUM
cana-2553	42	43	]	]	PUNCT
cana-2553	42	44	.	.	PUNCT
cana-2553	43	1	this	this	PRON
cana-2553	43	2	had	have	VERB
cana-2553	43	3	a	a	DET
cana-2553	43	4	rich	rich	ADJ
cana-2553	43	5	collection	collection	NOUN
cana-2553	43	6	of	of	ADP
cana-2553	43	7	datasets	dataset	NOUN
cana-2553	43	8	,	,	PUNCT
cana-2553	43	9	and	and	CCONJ
cana-2553	43	10	comprehensive	comprehensive	ADJ
cana-2553	43	11	evaluation	evaluation	NOUN
cana-2553	43	12	metrics	metric	NOUN
cana-2553	43	13	.	.	PUNCT
cana-2553	44	1	iii.limitations	iii.limitation	NOUN
cana-2553	44	2	in	in	ADP
cana-2553	44	3	existing	exist	VERB
cana-2553	44	4	system	system	NOUN
cana-2553	44	5	by	by	ADP
cana-2553	44	6	exploring	explore	VERB
cana-2553	44	7	the	the	DET
cana-2553	44	8	potential	potential	NOUN
cana-2553	44	9	of	of	ADP
cana-2553	44	10	rag	rag	NOUN
cana-2553	44	11	to	to	PART
cana-2553	44	12	enhance	enhance	VERB
cana-2553	44	13	accuracy	accuracy	NOUN
cana-2553	44	14	,	,	PUNCT
cana-2553	44	15	efficiency	efficiency	NOUN
cana-2553	44	16	,	,	PUNCT
cana-2553	44	17	and	and	CCONJ
cana-2553	44	18	user	user	NOUN
cana-2553	44	19	experience	experience	NOUN
cana-2553	44	20	across	across	ADP
cana-2553	44	21	domains	domain	NOUN
cana-2553	44	22	such	such	ADJ
cana-2553	44	23	as	as	ADP
cana-2553	44	24	healthcare	healthcare	NOUN
cana-2553	44	25	,	,	PUNCT
cana-2553	44	26	education	education	NOUN
cana-2553	44	27	,	,	PUNCT
cana-2553	44	28	and	and	CCONJ
cana-2553	44	29	government	government	NOUN
cana-2553	44	30	services	service	NOUN
cana-2553	44	31	,	,	PUNCT
cana-2553	44	32	the	the	DET
cana-2553	44	33	paper	paper	NOUN
cana-2553	44	34	aims	aim	VERB
cana-2553	44	35	to	to	PART
cana-2553	44	36	propose	propose	VERB
cana-2553	44	37	a	a	DET
cana-2553	44	38	framework	framework	NOUN
cana-2553	44	39	for	for	ADP
cana-2553	44	40	integrating	integrate	VERB
cana-2553	44	41	rag	rag	NOUN
cana-2553	44	42	systems	system	NOUN
cana-2553	44	43	into	into	ADP
cana-2553	44	44	public	public	ADJ
cana-2553	44	45	sector	sector	NOUN
cana-2553	44	46	operations	operation	NOUN
cana-2553	44	47	to	to	PART
cana-2553	44	48	improve	improve	VERB
cana-2553	44	49	service	service	NOUN
cana-2553	44	50	delivery	delivery	NOUN
cana-2553	44	51	and	and	CCONJ
cana-2553	44	52	decision	decision	NOUN
cana-2553	44	53	-	-	PUNCT
cana-2553	44	54	making	making	NOUN
cana-2553	44	55	.	.	PUNCT
cana-2553	45	1	the	the	DET
cana-2553	45	2	limitations	limitation	NOUN
cana-2553	45	3	observed	observe	VERB
cana-2553	45	4	in	in	ADP
cana-2553	45	5	the	the	DET
cana-2553	45	6	existing	exist	VERB
cana-2553	45	7	systems	system	NOUN
cana-2553	45	8	include	include	VERB
cana-2553	45	9	:	:	PUNCT
cana-2553	45	10	1	1	X
cana-2553	45	11	.	.	PUNCT
cana-2553	45	12	context	context	NOUN
cana-2553	45	13	management	management	NOUN
cana-2553	45	14	for	for	ADP
cana-2553	45	15	long	long	ADJ
cana-2553	45	16	documents	document	NOUN
cana-2553	45	17	existing	exist	VERB
cana-2553	45	18	rag	rag	NOUN
cana-2553	45	19	systems	system	NOUN
cana-2553	45	20	may	may	AUX
cana-2553	45	21	struggle	struggle	VERB
cana-2553	45	22	with	with	ADP
cana-2553	45	23	efficiently	efficiently	ADV
cana-2553	45	24	managing	manage	VERB
cana-2553	45	25	long	long	ADJ
cana-2553	45	26	contexts	contexts	NOUN
cana-2553	45	27	,	,	PUNCT
cana-2553	45	28	which	which	PRON
cana-2553	45	29	is	be	AUX
cana-2553	45	30	crucial	crucial	ADJ
cana-2553	45	31	for	for	ADP
cana-2553	45	32	handling	handle	VERB
cana-2553	45	33	detailed	detailed	ADJ
cana-2553	45	34	documentation	documentation	NOUN
cana-2553	45	35	,	,	PUNCT
cana-2553	45	36	reports	report	NOUN
cana-2553	45	37	and	and	CCONJ
cana-2553	45	38	real	real	ADJ
cana-2553	45	39	-	-	PUNCT
cana-2553	45	40	time	time	NOUN
cana-2553	45	41	updates	update	NOUN
cana-2553	45	42	across	across	ADP
cana-2553	45	43	various	various	ADJ
cana-2553	45	44	public	public	ADJ
cana-2553	45	45	services	service	NOUN
cana-2553	45	46	.	.	PUNCT
cana-2553	46	1	2	2	X
cana-2553	46	2	.	.	X
cana-2553	46	3	robustness	robustness	NOUN
cana-2553	46	4	to	to	ADP
cana-2553	46	5	misinformation	misinformation	NOUN
cana-2553	46	6	if	if	SCONJ
cana-2553	46	7	a	a	DET
cana-2553	46	8	rag	rag	NOUN
cana-2553	46	9	system	system	NOUN
cana-2553	46	10	retrieves	retrieve	VERB
cana-2553	46	11	outdated	outdated	ADJ
cana-2553	46	12	or	or	CCONJ
cana-2553	46	13	incorrect	incorrect	ADJ
cana-2553	46	14	information	information	NOUN
cana-2553	46	15	,	,	PUNCT
cana-2553	46	16	it	it	PRON
cana-2553	46	17	could	could	AUX
cana-2553	46	18	lead	lead	VERB
cana-2553	46	19	to	to	ADP
cana-2553	46	20	inaccurate	inaccurate	ADJ
cana-2553	46	21	responses	response	NOUN
cana-2553	46	22	for	for	ADP
cana-2553	46	23	citizens	citizen	NOUN
cana-2553	46	24	seeking	seek	VERB
cana-2553	46	25	assistance	assistance	NOUN
cana-2553	46	26	with	with	ADP
cana-2553	46	27	services	service	NOUN
cana-2553	46	28	such	such	ADJ
cana-2553	46	29	as	as	ADP
cana-2553	46	30	healthcare	healthcare	NOUN
cana-2553	46	31	,	,	PUNCT
cana-2553	46	32	social	social	ADJ
cana-2553	46	33	welfare	welfare	NOUN
cana-2553	46	34	,	,	PUNCT
cana-2553	46	35	or	or	CCONJ
cana-2553	46	36	public	public	ADJ
cana-2553	46	37	safety	safety	NOUN
cana-2553	46	38	.	.	PUNCT
cana-2553	47	1	3	3	X
cana-2553	47	2	.	.	X
cana-2553	47	3	integration	integration	NOUN
cana-2553	47	4	of	of	ADP
cana-2553	47	5	domain	domain	NOUN
cana-2553	47	6	-	-	PUNCT
cana-2553	47	7	specific	specific	ADJ
cana-2553	47	8	knowledge	knowledge	NOUN
cana-2553	47	9	current	current	ADJ
cana-2553	47	10	rag	rag	NOUN
cana-2553	47	11	systems	system	NOUN
cana-2553	47	12	may	may	AUX
cana-2553	47	13	not	not	PART
cana-2553	47	14	be	be	AUX
cana-2553	47	15	well	well	ADV
cana-2553	47	16	-	-	PUNCT
cana-2553	47	17	adapted	adapt	VERB
cana-2553	47	18	to	to	ADP
cana-2553	47	19	the	the	DET
cana-2553	47	20	specific	specific	ADJ
cana-2553	47	21	needs	need	NOUN
cana-2553	47	22	of	of	ADP
cana-2553	47	23	different	different	ADJ
cana-2553	47	24	public	public	ADJ
cana-2553	47	25	sector	sector	NOUN
cana-2553	47	26	agencies	agency	NOUN
cana-2553	47	27	,	,	PUNCT
cana-2553	47	28	such	such	ADJ
cana-2553	47	29	as	as	ADP
cana-2553	47	30	handling	handle	VERB
cana-2553	47	31	diverse	diverse	ADJ
cana-2553	47	32	and	and	CCONJ
cana-2553	47	33	localized	localized	ADJ
cana-2553	47	34	information	information	NOUN
cana-2553	47	35	or	or	CCONJ
cana-2553	47	36	integrating	integrate	VERB
cana-2553	47	37	with	with	ADP
cana-2553	47	38	various	various	ADJ
cana-2553	47	39	live	live	ADJ
cana-2553	47	40	data	datum	NOUN
cana-2553	47	41	sources	source	NOUN
cana-2553	47	42	relevant	relevant	ADJ
cana-2553	47	43	to	to	ADP
cana-2553	47	44	specific	specific	ADJ
cana-2553	47	45	public	public	ADJ
cana-2553	47	46	services	service	NOUN
cana-2553	47	47	.	.	PUNCT
cana-2553	48	1	4	4	X
cana-2553	48	2	.	.	X
cana-2553	48	3	resource	resource	NOUN
cana-2553	48	4	-	-	PUNCT
cana-2553	48	5	intensive	intensive	ADJ
cana-2553	48	6	operations	operation	NOUN
cana-2553	48	7	high	high	ADJ
cana-2553	48	8	computational	computational	ADJ
cana-2553	48	9	costs	cost	NOUN
cana-2553	48	10	and	and	CCONJ
cana-2553	48	11	memory	memory	NOUN
cana-2553	48	12	requirements	requirement	NOUN
cana-2553	48	13	could	could	AUX
cana-2553	48	14	hinder	hinder	VERB
cana-2553	48	15	the	the	DET
cana-2553	48	16	feasibility	feasibility	NOUN
cana-2553	48	17	of	of	ADP
cana-2553	48	18	deploying	deploy	VERB
cana-2553	48	19	rag	rag	NOUN
cana-2553	48	20	systems	system	NOUN
cana-2553	48	21	at	at	ADP
cana-2553	48	22	scale	scale	NOUN
cana-2553	48	23	for	for	ADP
cana-2553	48	24	real	real	ADJ
cana-2553	48	25	-	-	PUNCT
cana-2553	48	26	time	time	NOUN
cana-2553	48	27	updates	update	NOUN
cana-2553	48	28	and	and	CCONJ
cana-2553	48	29	queries	query	NOUN
cana-2553	48	30	in	in	ADP
cana-2553	48	31	public	public	ADJ
cana-2553	48	32	sector	sector	NOUN
cana-2553	48	33	operations	operation	NOUN
cana-2553	48	34	,	,	PUNCT
cana-2553	48	35	especially	especially	ADV
cana-2553	48	36	in	in	ADP
cana-2553	48	37	resourceconstrained	resourceconstraine	VERB
cana-2553	48	38	environments	environment	NOUN
cana-2553	48	39	.	.	PUNCT
cana-2553	49	1	5	5	X
cana-2553	49	2	.	.	X
cana-2553	49	3	generalization	generalization	NOUN
cana-2553	49	4	and	and	CCONJ
cana-2553	49	5	domain	domain	NOUN
cana-2553	49	6	adaptation	adaptation	NOUN
cana-2553	49	7	existing	exist	VERB
cana-2553	49	8	rag	rag	NOUN
cana-2553	49	9	methods	method	NOUN
cana-2553	49	10	do	do	AUX
cana-2553	49	11	not	not	PART
cana-2553	49	12	perform	perform	VERB
cana-2553	49	13	optimally	optimally	ADV
cana-2553	49	14	across	across	ADP
cana-2553	49	15	different	different	ADJ
cana-2553	49	16	public	public	ADJ
cana-2553	49	17	sector	sector	NOUN
cana-2553	49	18	domains	domain	NOUN
cana-2553	49	19	,	,	PUNCT
cana-2553	49	20	affecting	affect	VERB
cana-2553	49	21	the	the	DET
cana-2553	49	22	system	system	NOUN
cana-2553	49	23	's	's	PART
cana-2553	49	24	ability	ability	NOUN
cana-2553	49	25	to	to	PART
cana-2553	49	26	effectively	effectively	ADV
cana-2553	49	27	handle	handle	VERB
cana-2553	49	28	the	the	DET
cana-2553	49	29	varied	varied	ADJ
cana-2553	49	30	queries	query	NOUN
cana-2553	49	31	and	and	CCONJ
cana-2553	49	32	requirements	requirement	NOUN
cana-2553	49	33	of	of	ADP
cana-2553	49	34	citizens	citizen	NOUN
cana-2553	49	35	interacting	interact	VERB
cana-2553	49	36	with	with	ADP
cana-2553	49	37	government	government	NOUN
cana-2553	49	38	services	service	NOUN
cana-2553	49	39	.	.	PUNCT
cana-2553	50	1	this	this	DET
cana-2553	50	2	gap	gap	NOUN
cana-2553	50	3	underscores	underscore	VERB
cana-2553	50	4	the	the	DET
cana-2553	50	5	need	need	NOUN
cana-2553	50	6	for	for	ADP
cana-2553	50	7	further	further	ADJ
cana-2553	50	8	exploration	exploration	NOUN
cana-2553	50	9	to	to	PART
cana-2553	50	10	develop	develop	VERB
cana-2553	50	11	effective	effective	ADJ
cana-2553	50	12	frameworks	framework	NOUN
cana-2553	50	13	for	for	ADP
cana-2553	50	14	rag	rag	NOUN
cana-2553	50	15	deployment	deployment	NOUN
cana-2553	50	16	in	in	ADP
cana-2553	50	17	public	public	ADJ
cana-2553	50	18	services	service	NOUN
cana-2553	50	19	.	.	PUNCT
cana-2553	51	1	iv.retrieval	iv.retrieval	PROPN
cana-2553	51	2	augmented	augment	VERB
cana-2553	51	3	generation	generation	NOUN
cana-2553	51	4	retrieval	retrieval	NOUN
cana-2553	51	5	-	-	PUNCT
cana-2553	51	6	augmented	augment	VERB
cana-2553	51	7	generation	generation	NOUN
cana-2553	51	8	(	(	PUNCT
cana-2553	51	9	rag	rag	NOUN
cana-2553	51	10	)	)	PUNCT
cana-2553	51	11	forms	form	VERB
cana-2553	51	12	an	an	DET
cana-2553	51	13	innovative	innovative	ADJ
cana-2553	51	14	framework	framework	NOUN
cana-2553	51	15	that	that	PRON
cana-2553	51	16	combines	combine	VERB
cana-2553	51	17	the	the	DET
cana-2553	51	18	strengths	strength	NOUN
cana-2553	51	19	of	of	ADP
cana-2553	51	20	two	two	NUM
cana-2553	51	21	fundamental	fundamental	ADJ
cana-2553	51	22	components	component	NOUN
cana-2553	51	23	:	:	PUNCT
cana-2553	51	24	a	a	DET
cana-2553	51	25	retrieval	retrieval	NOUN
cana-2553	51	26	system	system	NOUN
cana-2553	51	27	and	and	CCONJ
cana-2553	51	28	a	a	DET
cana-2553	51	29	generation	generation	NOUN
cana-2553	51	30	system	system	NOUN
cana-2553	51	31	.	.	PUNCT
cana-2553	52	1	this	this	DET
cana-2553	52	2	hybrid	hybrid	ADJ
cana-2553	52	3	approach	approach	NOUN
cana-2553	52	4	enhances	enhance	VERB
cana-2553	52	5	the	the	DET
cana-2553	52	6	ability	ability	NOUN
cana-2553	52	7	to	to	PART
cana-2553	52	8	provide	provide	VERB
cana-2553	52	9	accurate	accurate	ADJ
cana-2553	52	10	and	and	CCONJ
cana-2553	52	11	contextually	contextually	ADV
cana-2553	52	12	relevant	relevant	ADJ
cana-2553	52	13	responses	response	NOUN
cana-2553	52	14	to	to	ADP
cana-2553	52	15	complex	complex	ADJ
cana-2553	52	16	queries	query	NOUN
cana-2553	52	17	,	,	PUNCT
cana-2553	52	18	making	make	VERB
cana-2553	52	19	it	it	PRON
cana-2553	52	20	particularly	particularly	ADV
cana-2553	52	21	valuable	valuable	ADJ
cana-2553	52	22	in	in	ADP
cana-2553	52	23	various	various	ADJ
cana-2553	52	24	applications	application	NOUN
cana-2553	52	25	including	include	VERB
cana-2553	52	26	public	public	ADJ
cana-2553	52	27	sector	sector	NOUN
cana-2553	52	28	operations	operation	NOUN
cana-2553	52	29	.	.	PUNCT
cana-2553	53	1	the	the	DET
cana-2553	53	2	details	detail	NOUN
cana-2553	53	3	of	of	ADP
cana-2553	53	4	both	both	CCONJ
cana-2553	53	5	the	the	DET
cana-2553	53	6	modules	module	NOUN
cana-2553	53	7	are	be	AUX
cana-2553	53	8	elaborated	elaborate	VERB
cana-2553	53	9	below	below	ADV
cana-2553	53	10	and	and	CCONJ
cana-2553	53	11	represented	represent	VERB
cana-2553	53	12	in	in	ADP
cana-2553	53	13	figure	figure	NOUN
cana-2553	53	14	2	2	NUM
cana-2553	53	15	.	.	PUNCT
cana-2553	54	1	communications	communication	NOUN
cana-2553	54	2	on	on	ADP
cana-2553	54	3	applied	apply	VERB
cana-2553	54	4	nonlinear	nonlinear	ADJ
cana-2553	54	5	analysis	analysis	NOUN
cana-2553	54	6	issn	issn	NOUN
cana-2553	54	7	:	:	PUNCT
cana-2553	54	8	1074	1074	NUM
cana-2553	54	9	-	-	PUNCT
cana-2553	54	10	133x	133x	NUM
cana-2553	54	11	vol	vol	NOUN
cana-2553	54	12	32	32	NUM
cana-2553	54	13	no	no	NOUN
cana-2553	54	14	.	.	PUNCT
cana-2553	55	1	3s	3s	NUM
cana-2553	55	2	(	(	PUNCT
cana-2553	55	3	2025	2025	NUM
cana-2553	55	4	)	)	PUNCT
cana-2553	55	5	94	94	NUM
cana-2553	55	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	55	7	1	1	X
cana-2553	55	8	.	.	PUNCT
cana-2553	55	9	retrieval	retrieval	NOUN
cana-2553	55	10	system	system	NOUN
cana-2553	55	11	the	the	DET
cana-2553	55	12	retrieval	retrieval	NOUN
cana-2553	55	13	component	component	NOUN
cana-2553	55	14	is	be	AUX
cana-2553	55	15	responsible	responsible	ADJ
cana-2553	55	16	for	for	ADP
cana-2553	55	17	sourcing	source	VERB
cana-2553	55	18	relevant	relevant	ADJ
cana-2553	55	19	information	information	NOUN
cana-2553	55	20	from	from	ADP
cana-2553	55	21	a	a	DET
cana-2553	55	22	predefined	predefine	VERB
cana-2553	55	23	database	database	NOUN
cana-2553	55	24	or	or	CCONJ
cana-2553	55	25	knowledge	knowledge	NOUN
cana-2553	55	26	base	base	NOUN
cana-2553	55	27	.	.	PUNCT
cana-2553	56	1	it	it	PRON
cana-2553	56	2	utilizes	utilize	VERB
cana-2553	56	3	techniques	technique	NOUN
cana-2553	56	4	such	such	ADJ
cana-2553	56	5	as	as	ADP
cana-2553	56	6	keyword	keyword	NOUN
cana-2553	56	7	matching	matching	NOUN
cana-2553	56	8	,	,	PUNCT
cana-2553	56	9	semantic	semantic	ADJ
cana-2553	56	10	search	search	NOUN
cana-2553	56	11	,	,	PUNCT
cana-2553	56	12	and	and	CCONJ
cana-2553	56	13	information	information	NOUN
cana-2553	56	14	retrieval	retrieval	NOUN
cana-2553	56	15	algorithms	algorithm	NOUN
cana-2553	56	16	to	to	PART
cana-2553	56	17	identify	identify	VERB
cana-2553	56	18	documents	document	NOUN
cana-2553	56	19	or	or	CCONJ
cana-2553	56	20	data	data	NOUN
cana-2553	56	21	snippets	snippet	NOUN
cana-2553	56	22	that	that	PRON
cana-2553	56	23	relate	relate	VERB
cana-2553	56	24	closely	closely	ADV
cana-2553	56	25	to	to	ADP
cana-2553	56	26	the	the	DET
cana-2553	56	27	user	user	NOUN
cana-2553	56	28	's	's	PART
cana-2553	56	29	query	query	NOUN
cana-2553	56	30	.	.	PUNCT
cana-2553	57	1	by	by	ADP
cana-2553	57	2	retrieving	retrieve	VERB
cana-2553	57	3	pertinent	pertinent	ADJ
cana-2553	57	4	information	information	NOUN
cana-2553	57	5	,	,	PUNCT
cana-2553	57	6	this	this	DET
cana-2553	57	7	system	system	NOUN
cana-2553	57	8	lays	lay	VERB
cana-2553	57	9	the	the	DET
cana-2553	57	10	groundwork	groundwork	NOUN
cana-2553	57	11	for	for	ADP
cana-2553	57	12	generating	generate	VERB
cana-2553	57	13	informed	informed	ADJ
cana-2553	57	14	responses	response	NOUN
cana-2553	57	15	.	.	PUNCT
cana-2553	58	1	the	the	DET
cana-2553	58	2	effectiveness	effectiveness	NOUN
cana-2553	58	3	of	of	ADP
cana-2553	58	4	the	the	DET
cana-2553	58	5	retrieval	retrieval	NOUN
cana-2553	58	6	system	system	NOUN
cana-2553	58	7	is	be	AUX
cana-2553	58	8	crucial	crucial	ADJ
cana-2553	58	9	,	,	PUNCT
cana-2553	58	10	as	as	SCONJ
cana-2553	58	11	it	it	PRON
cana-2553	58	12	ensures	ensure	VERB
cana-2553	58	13	that	that	SCONJ
cana-2553	58	14	the	the	DET
cana-2553	58	15	generative	generative	ADJ
cana-2553	58	16	model	model	NOUN
cana-2553	58	17	operates	operate	VERB
cana-2553	58	18	with	with	ADP
cana-2553	58	19	accurate	accurate	ADJ
cana-2553	58	20	and	and	CCONJ
cana-2553	58	21	relevant	relevant	ADJ
cana-2553	58	22	content	content	NOUN
cana-2553	58	23	.	.	PUNCT
cana-2553	59	1	figure	figure	NOUN
cana-2553	59	2	2	2	NUM
cana-2553	59	3	:	:	PUNCT
cana-2553	59	4	block	block	NOUN
cana-2553	59	5	diagram	diagram	NOUN
cana-2553	59	6	of	of	ADP
cana-2553	59	7	rag	rag	NOUN
cana-2553	59	8	2	2	NUM
cana-2553	59	9	.	.	PUNCT
cana-2553	59	10	generation	generation	NOUN
cana-2553	59	11	system	system	NOUN
cana-2553	59	12	the	the	DET
cana-2553	59	13	generation	generation	NOUN
cana-2553	59	14	component	component	NOUN
cana-2553	59	15	leverages	leverage	NOUN
cana-2553	59	16	advanced	advanced	ADJ
cana-2553	59	17	natural	natural	ADJ
cana-2553	59	18	language	language	NOUN
cana-2553	59	19	processing	processing	NOUN
cana-2553	59	20	(	(	PUNCT
cana-2553	59	21	nlp	nlp	NOUN
cana-2553	59	22	)	)	PUNCT
cana-2553	59	23	techniques	technique	NOUN
cana-2553	59	24	,	,	PUNCT
cana-2553	59	25	often	often	ADV
cana-2553	59	26	powered	power	VERB
cana-2553	59	27	by	by	ADP
cana-2553	59	28	large	large	ADJ
cana-2553	59	29	language	language	NOUN
cana-2553	59	30	models	model	NOUN
cana-2553	59	31	(	(	PUNCT
cana-2553	59	32	llms	llm	NOUN
cana-2553	59	33	)	)	PUNCT
cana-2553	59	34	,	,	PUNCT
cana-2553	59	35	to	to	PART
cana-2553	59	36	create	create	VERB
cana-2553	59	37	coherent	coherent	ADJ
cana-2553	59	38	and	and	CCONJ
cana-2553	59	39	contextually	contextually	ADV
cana-2553	59	40	appropriate	appropriate	ADJ
cana-2553	59	41	responses	response	NOUN
cana-2553	59	42	.	.	PUNCT
cana-2553	60	1	once	once	SCONJ
cana-2553	60	2	the	the	DET
cana-2553	60	3	retrieval	retrieval	NOUN
cana-2553	60	4	system	system	NOUN
cana-2553	60	5	has	have	AUX
cana-2553	60	6	identified	identify	VERB
cana-2553	60	7	relevant	relevant	ADJ
cana-2553	60	8	information	information	NOUN
cana-2553	60	9	,	,	PUNCT
cana-2553	60	10	the	the	DET
cana-2553	60	11	generation	generation	NOUN
cana-2553	60	12	model	model	NOUN
cana-2553	60	13	synthesizes	synthesize	VERB
cana-2553	60	14	this	this	DET
cana-2553	60	15	data	datum	NOUN
cana-2553	60	16	,	,	PUNCT
cana-2553	60	17	generating	generate	VERB
cana-2553	60	18	responses	response	NOUN
cana-2553	60	19	that	that	PRON
cana-2553	60	20	are	be	AUX
cana-2553	60	21	not	not	PART
cana-2553	60	22	only	only	ADV
cana-2553	60	23	informative	informative	ADJ
cana-2553	60	24	but	but	CCONJ
cana-2553	60	25	also	also	ADV
cana-2553	60	26	human	human	NOUN
cana-2553	60	27	-	-	PUNCT
cana-2553	60	28	like	like	ADJ
cana-2553	60	29	in	in	ADP
cana-2553	60	30	their	their	PRON
cana-2553	60	31	structure	structure	NOUN
cana-2553	60	32	and	and	CCONJ
cana-2553	60	33	tone	tone	NOUN
cana-2553	60	34	.	.	PUNCT
cana-2553	61	1	this	this	DET
cana-2553	61	2	component	component	NOUN
cana-2553	61	3	enhances	enhance	VERB
cana-2553	61	4	the	the	DET
cana-2553	61	5	user	user	NOUN
cana-2553	61	6	experience	experience	NOUN
cana-2553	61	7	by	by	ADP
cana-2553	61	8	providing	provide	VERB
cana-2553	61	9	answers	answer	NOUN
cana-2553	61	10	that	that	PRON
cana-2553	61	11	feel	feel	VERB
cana-2553	61	12	natural	natural	ADJ
cana-2553	61	13	and	and	CCONJ
cana-2553	61	14	engaging	engaging	ADJ
cana-2553	61	15	,	,	PUNCT
cana-2553	61	16	while	while	SCONJ
cana-2553	61	17	also	also	ADV
cana-2553	61	18	incorporating	incorporate	VERB
cana-2553	61	19	the	the	DET
cana-2553	61	20	specific	specific	ADJ
cana-2553	61	21	details	detail	NOUN
cana-2553	61	22	retrieved	retrieve	VERB
cana-2553	61	23	from	from	ADP
cana-2553	61	24	the	the	DET
cana-2553	61	25	database	database	NOUN
cana-2553	61	26	.	.	PUNCT
cana-2553	62	1	together	together	ADV
cana-2553	62	2	,	,	PUNCT
cana-2553	62	3	these	these	DET
cana-2553	62	4	components	component	NOUN
cana-2553	62	5	form	form	VERB
cana-2553	62	6	a	a	DET
cana-2553	62	7	robust	robust	ADJ
cana-2553	62	8	rag	rag	NOUN
cana-2553	62	9	system	system	NOUN
cana-2553	62	10	that	that	PRON
cana-2553	62	11	effectively	effectively	ADV
cana-2553	62	12	addresses	address	VERB
cana-2553	62	13	the	the	DET
cana-2553	62	14	challenges	challenge	NOUN
cana-2553	62	15	of	of	ADP
cana-2553	62	16	information	information	NOUN
cana-2553	62	17	retrieval	retrieval	NOUN
cana-2553	62	18	and	and	CCONJ
cana-2553	62	19	response	response	NOUN
cana-2553	62	20	generation	generation	NOUN
cana-2553	62	21	,	,	PUNCT
cana-2553	62	22	making	make	VERB
cana-2553	62	23	it	it	PRON
cana-2553	62	24	a	a	DET
cana-2553	62	25	powerful	powerful	ADJ
cana-2553	62	26	tool	tool	NOUN
cana-2553	62	27	for	for	ADP
cana-2553	62	28	improving	improve	VERB
cana-2553	62	29	interactions	interaction	NOUN
cana-2553	62	30	in	in	ADP
cana-2553	62	31	various	various	ADJ
cana-2553	62	32	domains	domain	NOUN
cana-2553	62	33	,	,	PUNCT
cana-2553	62	34	including	include	VERB
cana-2553	62	35	healthcare	healthcare	NOUN
cana-2553	62	36	,	,	PUNCT
cana-2553	62	37	education	education	NOUN
cana-2553	62	38	,	,	PUNCT
cana-2553	62	39	and	and	CCONJ
cana-2553	62	40	public	public	ADJ
cana-2553	62	41	sector	sector	NOUN
cana-2553	62	42	services	service	NOUN
cana-2553	62	43	.	.	PUNCT
cana-2553	63	1	by	by	ADP
cana-2553	63	2	integrating	integrate	VERB
cana-2553	63	3	retrieval	retrieval	NOUN
cana-2553	63	4	and	and	CCONJ
cana-2553	63	5	generation	generation	NOUN
cana-2553	63	6	capabilities	capability	NOUN
cana-2553	63	7	,	,	PUNCT
cana-2553	63	8	rag	rag	NOUN
cana-2553	63	9	systems	system	NOUN
cana-2553	63	10	can	can	AUX
cana-2553	63	11	offer	offer	VERB
cana-2553	63	12	users	user	NOUN
cana-2553	63	13	more	more	ADV
cana-2553	63	14	personalized	personalized	ADJ
cana-2553	63	15	and	and	CCONJ
cana-2553	63	16	accurate	accurate	ADJ
cana-2553	63	17	information	information	NOUN
cana-2553	63	18	,	,	PUNCT
cana-2553	63	19	enhancing	enhance	VERB
cana-2553	63	20	decision	decision	NOUN
cana-2553	63	21	-	-	PUNCT
cana-2553	63	22	making	making	NOUN
cana-2553	63	23	and	and	CCONJ
cana-2553	63	24	overall	overall	ADJ
cana-2553	63	25	service	service	NOUN
cana-2553	63	26	delivery	delivery	NOUN
cana-2553	63	27	.	.	PUNCT
cana-2553	64	1	the	the	DET
cana-2553	64	2	elaborated	elaborate	VERB
cana-2553	64	3	description	description	NOUN
cana-2553	64	4	for	for	ADP
cana-2553	64	5	the	the	DET
cana-2553	64	6	same	same	ADJ
cana-2553	64	7	is	be	AUX
cana-2553	64	8	as	as	SCONJ
cana-2553	64	9	follows	follow	VERB
cana-2553	64	10	.	.	PUNCT
cana-2553	65	1	user	user	NOUN
cana-2553	65	2	query	query	NOUN
cana-2553	65	3	:	:	PUNCT
cana-2553	65	4	the	the	DET
cana-2553	65	5	initial	initial	ADJ
cana-2553	65	6	input	input	NOUN
cana-2553	65	7	provided	provide	VERB
cana-2553	65	8	by	by	ADP
cana-2553	65	9	the	the	DET
cana-2553	65	10	user	user	NOUN
cana-2553	65	11	.	.	PUNCT
cana-2553	66	1	generation	generation	NOUN
cana-2553	66	2	answer	answer	NOUN
cana-2553	66	3	:	:	PUNCT
cana-2553	66	4	a	a	DET
cana-2553	66	5	preliminary	preliminary	ADJ
cana-2553	66	6	response	response	NOUN
cana-2553	66	7	generated	generate	VERB
cana-2553	66	8	by	by	ADP
cana-2553	66	9	the	the	DET
cana-2553	66	10	language	language	NOUN
cana-2553	66	11	model	model	NOUN
cana-2553	66	12	(	(	PUNCT
cana-2553	66	13	llm	llm	NOUN
cana-2553	66	14	)	)	PUNCT
cana-2553	66	15	based	base	VERB
cana-2553	66	16	on	on	ADP
cana-2553	66	17	internal	internal	ADJ
cana-2553	66	18	knowledge	knowledge	NOUN
cana-2553	66	19	.	.	PUNCT
cana-2553	67	1	embedding	embed	VERB
cana-2553	67	2	:	:	PUNCT
cana-2553	67	3	converts	convert	VERB
cana-2553	67	4	the	the	DET
cana-2553	67	5	user	user	NOUN
cana-2553	67	6	query	query	NOUN
cana-2553	67	7	into	into	ADP
cana-2553	67	8	an	an	DET
cana-2553	67	9	embedding	embed	VERB
cana-2553	67	10	format	format	NOUN
cana-2553	67	11	suitable	suitable	ADJ
cana-2553	67	12	for	for	ADP
cana-2553	67	13	retrieval	retrieval	NOUN
cana-2553	67	14	.	.	PUNCT
cana-2553	68	1	indexing	indexing	NOUN
cana-2553	68	2	:	:	PUNCT
cana-2553	68	3	organizes	organize	VERB
cana-2553	68	4	and	and	CCONJ
cana-2553	68	5	stores	store	VERB
cana-2553	68	6	documents	document	NOUN
cana-2553	68	7	,	,	PUNCT
cana-2553	68	8	typically	typically	ADV
cana-2553	68	9	in	in	ADP
cana-2553	68	10	nosql	nosql	ADJ
cana-2553	68	11	format	format	NOUN
cana-2553	68	12	,	,	PUNCT
cana-2553	68	13	for	for	ADP
cana-2553	68	14	efficient	efficient	ADJ
cana-2553	68	15	access	access	NOUN
cana-2553	68	16	.	.	PUNCT
cana-2553	69	1	communications	communication	NOUN
cana-2553	69	2	on	on	ADP
cana-2553	69	3	applied	apply	VERB
cana-2553	69	4	nonlinear	nonlinear	ADJ
cana-2553	69	5	analysis	analysis	NOUN
cana-2553	69	6	issn	issn	NOUN
cana-2553	69	7	:	:	PUNCT
cana-2553	69	8	1074	1074	NUM
cana-2553	69	9	-	-	PUNCT
cana-2553	69	10	133x	133x	NUM
cana-2553	69	11	vol	vol	NOUN
cana-2553	69	12	32	32	NUM
cana-2553	69	13	no	no	NOUN
cana-2553	69	14	.	.	PUNCT
cana-2553	70	1	3s	3s	NUM
cana-2553	70	2	(	(	PUNCT
cana-2553	70	3	2025	2025	NUM
cana-2553	70	4	)	)	PUNCT
cana-2553	70	5	95	95	NUM
cana-2553	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	70	7	retrieval	retrieval	NOUN
cana-2553	70	8	:	:	PUNCT
cana-2553	70	9	searches	search	VERB
cana-2553	70	10	the	the	DET
cana-2553	70	11	indexed	index	VERB
cana-2553	70	12	documents	document	NOUN
cana-2553	70	13	to	to	PART
cana-2553	70	14	identify	identify	VERB
cana-2553	70	15	relevant	relevant	ADJ
cana-2553	70	16	ones	one	NOUN
cana-2553	70	17	based	base	VERB
cana-2553	70	18	on	on	ADP
cana-2553	70	19	the	the	DET
cana-2553	70	20	embedded	embed	VERB
cana-2553	70	21	query	query	NOUN
cana-2553	70	22	.	.	PUNCT
cana-2553	71	1	relevant	relevant	ADJ
cana-2553	71	2	documents	document	NOUN
cana-2553	71	3	:	:	PUNCT
cana-2553	71	4	the	the	DET
cana-2553	71	5	documents	document	NOUN
cana-2553	71	6	identified	identify	VERB
cana-2553	71	7	as	as	ADP
cana-2553	71	8	containing	contain	VERB
cana-2553	71	9	pertinent	pertinent	ADJ
cana-2553	71	10	information	information	NOUN
cana-2553	71	11	.	.	PUNCT
cana-2553	72	1	combine	combine	VERB
cana-2553	72	2	context	context	NOUN
cana-2553	72	3	and	and	CCONJ
cana-2553	72	4	prompts	prompt	NOUN
cana-2553	72	5	:	:	PUNCT
cana-2553	72	6	integrates	integrate	VERB
cana-2553	72	7	the	the	DET
cana-2553	72	8	relevant	relevant	ADJ
cana-2553	72	9	documents	document	NOUN
cana-2553	72	10	with	with	ADP
cana-2553	72	11	the	the	DET
cana-2553	72	12	original	original	ADJ
cana-2553	72	13	query	query	NOUN
cana-2553	72	14	and	and	CCONJ
cana-2553	72	15	context	context	NOUN
cana-2553	72	16	.	.	PUNCT
cana-2553	73	1	rag	rag	NOUN
cana-2553	73	2	-	-	PUNCT
cana-2553	73	3	based	base	VERB
cana-2553	73	4	generation	generation	NOUN
cana-2553	73	5	:	:	PUNCT
cana-2553	73	6	the	the	DET
cana-2553	73	7	llm	llm	PROPN
cana-2553	73	8	processes	process	VERB
cana-2553	73	9	the	the	DET
cana-2553	73	10	enriched	enriched	ADJ
cana-2553	73	11	query	query	NOUN
cana-2553	73	12	to	to	PART
cana-2553	73	13	generate	generate	VERB
cana-2553	73	14	a	a	DET
cana-2553	73	15	final	final	ADJ
cana-2553	73	16	,	,	PUNCT
cana-2553	73	17	contextually	contextually	ADV
cana-2553	73	18	informed	inform	VERB
cana-2553	73	19	response	response	NOUN
cana-2553	73	20	.	.	PUNCT
cana-2553	74	1	output	output	NOUN
cana-2553	74	2	:	:	PUNCT
cana-2553	74	3	the	the	DET
cana-2553	74	4	final	final	ADJ
cana-2553	74	5	,	,	PUNCT
cana-2553	74	6	accurate	accurate	ADJ
cana-2553	74	7	answer	answer	NOUN
cana-2553	74	8	is	be	AUX
cana-2553	74	9	delivered	deliver	VERB
cana-2553	74	10	to	to	ADP
cana-2553	74	11	the	the	DET
cana-2553	74	12	user	user	NOUN
cana-2553	74	13	.	.	PUNCT
cana-2553	75	1	v.	v.	ADP
cana-2553	75	2	algorithm	algorithm	NOUN
cana-2553	75	3	and	and	CCONJ
cana-2553	75	4	process	process	NOUN
cana-2553	75	5	design	design	NOUN
cana-2553	75	6	retrieval	retrieval	NOUN
cana-2553	75	7	-	-	PUNCT
cana-2553	75	8	augmented	augment	VERB
cana-2553	75	9	generation	generation	NOUN
cana-2553	75	10	(	(	PUNCT
cana-2553	75	11	rag	rag	NOUN
cana-2553	75	12	)	)	PUNCT
cana-2553	75	13	system	system	NOUN
cana-2553	75	14	,	,	PUNCT
cana-2553	75	15	algorithm	algorithm	NOUN
cana-2553	75	16	and	and	CCONJ
cana-2553	75	17	process	process	NOUN
cana-2553	75	18	design	design	NOUN
cana-2553	75	19	are	be	AUX
cana-2553	75	20	crucial	crucial	ADJ
cana-2553	75	21	for	for	ADP
cana-2553	75	22	transforming	transform	VERB
cana-2553	75	23	user	user	NOUN
cana-2553	75	24	queries	query	NOUN
cana-2553	75	25	into	into	ADP
cana-2553	75	26	meaningful	meaningful	ADJ
cana-2553	75	27	outputs	output	NOUN
cana-2553	75	28	.	.	PUNCT
cana-2553	76	1	this	this	PRON
cana-2553	76	2	involves	involve	VERB
cana-2553	76	3	a	a	DET
cana-2553	76	4	series	series	NOUN
cana-2553	76	5	of	of	ADP
cana-2553	76	6	carefully	carefully	ADV
cana-2553	76	7	crafted	craft	VERB
cana-2553	76	8	steps	step	NOUN
cana-2553	76	9	—	—	PUNCT
cana-2553	76	10	from	from	ADP
cana-2553	76	11	converting	convert	VERB
cana-2553	76	12	user	user	NOUN
cana-2553	76	13	input	input	NOUN
cana-2553	76	14	into	into	ADP
cana-2553	76	15	embeddings	embedding	NOUN
cana-2553	76	16	,	,	PUNCT
cana-2553	76	17	retrieving	retrieve	VERB
cana-2553	76	18	relevant	relevant	ADJ
cana-2553	76	19	data	datum	NOUN
cana-2553	76	20	from	from	ADP
cana-2553	76	21	structured	structured	ADJ
cana-2553	76	22	sources	source	NOUN
cana-2553	76	23	,	,	PUNCT
cana-2553	76	24	to	to	ADP
cana-2553	76	25	generating	generate	VERB
cana-2553	76	26	natural	natural	ADJ
cana-2553	76	27	language	language	NOUN
cana-2553	76	28	responses	response	NOUN
cana-2553	76	29	using	use	VERB
cana-2553	76	30	advanced	advanced	ADJ
cana-2553	76	31	language	language	NOUN
cana-2553	76	32	models	model	NOUN
cana-2553	76	33	like	like	ADP
cana-2553	76	34	gpt-2	gpt-2	NOUN
cana-2553	76	35	.	.	PUNCT
cana-2553	77	1	each	each	DET
cana-2553	77	2	stage	stage	NOUN
cana-2553	77	3	is	be	AUX
cana-2553	77	4	meticulously	meticulously	ADV
cana-2553	77	5	designed	design	VERB
cana-2553	77	6	to	to	PART
cana-2553	77	7	ensure	ensure	VERB
cana-2553	77	8	accurate	accurate	ADJ
cana-2553	77	9	data	datum	NOUN
cana-2553	77	10	retrieval	retrieval	NOUN
cana-2553	77	11	,	,	PUNCT
cana-2553	77	12	efficient	efficient	ADJ
cana-2553	77	13	processing	processing	NOUN
cana-2553	77	14	,	,	PUNCT
cana-2553	77	15	and	and	CCONJ
cana-2553	77	16	coherent	coherent	ADJ
cana-2553	77	17	response	response	NOUN
cana-2553	77	18	generation	generation	NOUN
cana-2553	77	19	.	.	PUNCT
cana-2553	78	1	the	the	DET
cana-2553	78	2	integration	integration	NOUN
cana-2553	78	3	of	of	ADP
cana-2553	78	4	a	a	DET
cana-2553	78	5	rag	rag	NOUN
cana-2553	78	6	system	system	NOUN
cana-2553	78	7	begins	begin	VERB
cana-2553	78	8	with	with	ADP
cana-2553	78	9	a	a	DET
cana-2553	78	10	json	json	NOUN
cana-2553	78	11	file	file	NOUN
cana-2553	78	12	containing	contain	VERB
cana-2553	78	13	station	station	NOUN
cana-2553	78	14	data	datum	NOUN
cana-2553	78	15	,	,	PUNCT
cana-2553	78	16	which	which	PRON
cana-2553	78	17	serves	serve	VERB
cana-2553	78	18	as	as	ADP
cana-2553	78	19	the	the	DET
cana-2553	78	20	primary	primary	ADJ
cana-2553	78	21	source	source	NOUN
cana-2553	78	22	of	of	ADP
cana-2553	78	23	structured	structured	ADJ
cana-2553	78	24	information	information	NOUN
cana-2553	78	25	about	about	ADP
cana-2553	78	26	the	the	DET
cana-2553	78	27	various	various	ADJ
cana-2553	78	28	stations	station	NOUN
cana-2553	78	29	under	under	ADP
cana-2553	78	30	consideration	consideration	NOUN
cana-2553	78	31	.	.	PUNCT
cana-2553	79	1	when	when	SCONJ
cana-2553	79	2	a	a	DET
cana-2553	79	3	user	user	NOUN
cana-2553	79	4	submits	submit	VERB
cana-2553	79	5	a	a	DET
cana-2553	79	6	query	query	NOUN
cana-2553	79	7	,	,	PUNCT
cana-2553	79	8	the	the	DET
cana-2553	79	9	system	system	NOUN
cana-2553	79	10	converts	convert	VERB
cana-2553	79	11	this	this	DET
cana-2553	79	12	query	query	NOUN
cana-2553	79	13	into	into	ADP
cana-2553	79	14	embeddings	embedding	NOUN
cana-2553	79	15	.	.	PUNCT
cana-2553	80	1	this	this	DET
cana-2553	80	2	user	user	NOUN
cana-2553	80	3	input	input	NOUN
cana-2553	80	4	is	be	AUX
cana-2553	80	5	further	far	ADV
cana-2553	80	6	transformed	transform	VERB
cana-2553	80	7	into	into	ADP
cana-2553	80	8	a	a	DET
cana-2553	80	9	vector	vector	NOUN
cana-2553	80	10	representation	representation	NOUN
cana-2553	80	11	that	that	PRON
cana-2553	80	12	facilitates	facilitate	VERB
cana-2553	80	13	efficient	efficient	ADJ
cana-2553	80	14	comparison	comparison	NOUN
cana-2553	80	15	with	with	ADP
cana-2553	80	16	existing	exist	VERB
cana-2553	80	17	data	datum	NOUN
cana-2553	80	18	.	.	PUNCT
cana-2553	81	1	the	the	DET
cana-2553	81	2	system	system	NOUN
cana-2553	81	3	then	then	ADV
cana-2553	81	4	extracts	extract	VERB
cana-2553	81	5	relevant	relevant	ADJ
cana-2553	81	6	text	text	NOUN
cana-2553	81	7	from	from	ADP
cana-2553	81	8	the	the	DET
cana-2553	81	9	json	json	NOUN
cana-2553	81	10	file	file	NOUN
cana-2553	81	11	,	,	PUNCT
cana-2553	81	12	retrieving	retrieve	VERB
cana-2553	81	13	pertinent	pertinent	ADJ
cana-2553	81	14	station	station	NOUN
cana-2553	81	15	information	information	NOUN
cana-2553	81	16	that	that	PRON
cana-2553	81	17	matches	match	VERB
cana-2553	81	18	the	the	DET
cana-2553	81	19	user	user	NOUN
cana-2553	81	20	's	's	PART
cana-2553	81	21	query	query	NOUN
cana-2553	81	22	.	.	PUNCT
cana-2553	82	1	utilizing	utilize	VERB
cana-2553	82	2	the	the	DET
cana-2553	82	3	faiss	faiss	NOUN
cana-2553	82	4	(	(	PUNCT
cana-2553	82	5	facebook	facebook	NOUN
cana-2553	82	6	ai	ai	PROPN
cana-2553	82	7	similarity	similarity	NOUN
cana-2553	82	8	search	search	NOUN
cana-2553	82	9	)	)	PUNCT
cana-2553	82	10	framework	framework	NOUN
cana-2553	82	11	,	,	PUNCT
cana-2553	82	12	it	it	PRON
cana-2553	82	13	then	then	ADV
cana-2553	82	14	retrieves	retrieve	VERB
cana-2553	82	15	similar	similar	ADJ
cana-2553	82	16	documents	document	NOUN
cana-2553	82	17	.	.	PUNCT
cana-2553	83	1	this	this	DET
cana-2553	83	2	process	process	NOUN
cana-2553	83	3	searches	search	VERB
cana-2553	83	4	the	the	DET
cana-2553	83	5	vector	vector	NOUN
cana-2553	83	6	database	database	NOUN
cana-2553	83	7	to	to	PART
cana-2553	83	8	identify	identify	VERB
cana-2553	83	9	entries	entry	NOUN
cana-2553	83	10	closely	closely	ADV
cana-2553	83	11	aligned	align	VERB
cana-2553	83	12	with	with	ADP
cana-2553	83	13	the	the	DET
cana-2553	83	14	user	user	NOUN
cana-2553	83	15	's	's	PART
cana-2553	83	16	input	input	NOUN
cana-2553	83	17	.	.	PUNCT
cana-2553	84	1	following	follow	VERB
cana-2553	84	2	this	this	PRON
cana-2553	84	3	,	,	PUNCT
cana-2553	84	4	the	the	DET
cana-2553	84	5	system	system	NOUN
cana-2553	84	6	generates	generate	VERB
cana-2553	84	7	embeddings	embedding	NOUN
cana-2553	84	8	for	for	ADP
cana-2553	84	9	the	the	DET
cana-2553	84	10	extracted	extract	VERB
cana-2553	84	11	station	station	NOUN
cana-2553	84	12	data	datum	NOUN
cana-2553	84	13	,	,	PUNCT
cana-2553	84	14	creating	create	VERB
cana-2553	84	15	vector	vector	NOUN
cana-2553	84	16	representations	representation	NOUN
cana-2553	84	17	that	that	PRON
cana-2553	84	18	can	can	AUX
cana-2553	84	19	be	be	AUX
cana-2553	84	20	compared	compare	VERB
cana-2553	84	21	with	with	ADP
cana-2553	84	22	the	the	DET
cana-2553	84	23	query	query	NOUN
cana-2553	84	24	embeddings	embedding	NOUN
cana-2553	84	25	,	,	PUNCT
cana-2553	84	26	as	as	SCONJ
cana-2553	84	27	represented	represent	VERB
cana-2553	84	28	in	in	ADP
cana-2553	84	29	figure	figure	NOUN
cana-2553	84	30	3	3	NUM
cana-2553	84	31	.	.	PUNCT
cana-2553	84	32	figure	figure	NOUN
cana-2553	84	33	3	3	NUM
cana-2553	84	34	represents	represent	VERB
cana-2553	84	35	the	the	DET
cana-2553	84	36	block	block	NOUN
cana-2553	84	37	diagram	diagram	NOUN
cana-2553	84	38	for	for	ADP
cana-2553	84	39	rag	rag	NOUN
cana-2553	84	40	systems	system	NOUN
cana-2553	84	41	communications	communication	NOUN
cana-2553	84	42	on	on	ADP
cana-2553	84	43	applied	apply	VERB
cana-2553	84	44	nonlinear	nonlinear	ADJ
cana-2553	84	45	analysis	analysis	NOUN
cana-2553	84	46	issn	issn	NOUN
cana-2553	84	47	:	:	PUNCT
cana-2553	84	48	1074	1074	NUM
cana-2553	84	49	-	-	PUNCT
cana-2553	84	50	133x	133x	NUM
cana-2553	84	51	vol	vol	NOUN
cana-2553	84	52	32	32	NUM
cana-2553	84	53	no	no	NOUN
cana-2553	84	54	.	.	PUNCT
cana-2553	85	1	3s	3s	NUM
cana-2553	85	2	(	(	PUNCT
cana-2553	85	3	2025	2025	NUM
cana-2553	85	4	)	)	PUNCT
cana-2553	85	5	96	96	NUM
cana-2553	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	85	7	the	the	DET
cana-2553	85	8	heart	heart	NOUN
cana-2553	85	9	of	of	ADP
cana-2553	85	10	the	the	DET
cana-2553	85	11	process	process	NOUN
cana-2553	85	12	lies	lie	VERB
cana-2553	85	13	in	in	ADP
cana-2553	85	14	the	the	DET
cana-2553	85	15	response	response	NOUN
cana-2553	85	16	generation	generation	NOUN
cana-2553	85	17	using	use	VERB
cana-2553	85	18	gpt-2	gpt-2	NUM
cana-2553	85	19	,	,	PUNCT
cana-2553	85	20	where	where	SCONJ
cana-2553	85	21	the	the	DET
cana-2553	85	22	model	model	NOUN
cana-2553	85	23	leverages	leverage	VERB
cana-2553	85	24	the	the	DET
cana-2553	85	25	retrieved	retrieve	VERB
cana-2553	85	26	data	datum	NOUN
cana-2553	85	27	to	to	PART
cana-2553	85	28	formulate	formulate	VERB
cana-2553	85	29	a	a	DET
cana-2553	85	30	coherent	coherent	ADJ
cana-2553	85	31	and	and	CCONJ
cana-2553	85	32	contextually	contextually	ADV
cana-2553	85	33	relevant	relevant	ADJ
cana-2553	85	34	natural	natural	ADJ
cana-2553	85	35	language	language	NOUN
cana-2553	85	36	response	response	NOUN
cana-2553	85	37	.	.	PUNCT
cana-2553	86	1	additionally	additionally	ADV
cana-2553	86	2	,	,	PUNCT
cana-2553	86	3	to	to	PART
cana-2553	86	4	optimize	optimize	VERB
cana-2553	86	5	future	future	ADJ
cana-2553	86	6	interactions	interaction	NOUN
cana-2553	86	7	,	,	PUNCT
cana-2553	86	8	the	the	DET
cana-2553	86	9	system	system	NOUN
cana-2553	86	10	stores	store	VERB
cana-2553	86	11	the	the	DET
cana-2553	86	12	embeddings	embedding	NOUN
cana-2553	86	13	of	of	ADP
cana-2553	86	14	the	the	DET
cana-2553	86	15	station	station	NOUN
cana-2553	86	16	data	datum	NOUN
cana-2553	86	17	in	in	ADP
cana-2553	86	18	faiss	faiss	NOUN
cana-2553	86	19	,	,	PUNCT
cana-2553	86	20	ensuring	ensure	VERB
cana-2553	86	21	quick	quick	ADJ
cana-2553	86	22	access	access	NOUN
cana-2553	86	23	for	for	ADP
cana-2553	86	24	subsequent	subsequent	ADJ
cana-2553	86	25	queries	query	NOUN
cana-2553	86	26	.	.	PUNCT
cana-2553	87	1	finally	finally	ADV
cana-2553	87	2	,	,	PUNCT
cana-2553	87	3	the	the	DET
cana-2553	87	4	system	system	NOUN
cana-2553	87	5	outputs	output	VERB
cana-2553	87	6	the	the	DET
cana-2553	87	7	response	response	NOUN
cana-2553	87	8	to	to	ADP
cana-2553	87	9	the	the	DET
cana-2553	87	10	user	user	NOUN
cana-2553	87	11	,	,	PUNCT
cana-2553	87	12	presenting	present	VERB
cana-2553	87	13	the	the	DET
cana-2553	87	14	generated	generate	VERB
cana-2553	87	15	answer	answer	NOUN
cana-2553	87	16	based	base	VERB
cana-2553	87	17	on	on	ADP
cana-2553	87	18	their	their	PRON
cana-2553	87	19	original	original	ADJ
cana-2553	87	20	inquiry	inquiry	NOUN
cana-2553	87	21	,	,	PUNCT
cana-2553	87	22	thereby	thereby	ADV
cana-2553	87	23	enhancing	enhance	VERB
cana-2553	87	24	the	the	DET
cana-2553	87	25	overall	overall	ADJ
cana-2553	87	26	user	user	NOUN
cana-2553	87	27	experience	experience	NOUN
cana-2553	87	28	.	.	PUNCT
cana-2553	88	1	vi	vi	X
cana-2553	88	2	.	.	NOUN
cana-2553	88	3	implementation	implementation	NOUN
cana-2553	88	4	details	detail	NOUN
cana-2553	88	5	in	in	ADP
cana-2553	88	6	the	the	DET
cana-2553	88	7	rapidly	rapidly	ADV
cana-2553	88	8	evolving	evolve	VERB
cana-2553	88	9	landscape	landscape	NOUN
cana-2553	88	10	of	of	ADP
cana-2553	88	11	artificial	artificial	ADJ
cana-2553	88	12	intelligence	intelligence	NOUN
cana-2553	88	13	(	(	PUNCT
cana-2553	88	14	ai	ai	NOUN
cana-2553	88	15	)	)	PUNCT
cana-2553	88	16	,	,	PUNCT
cana-2553	88	17	various	various	ADJ
cana-2553	88	18	platforms	platform	NOUN
cana-2553	88	19	offer	offer	VERB
cana-2553	88	20	unique	unique	ADJ
cana-2553	88	21	capabilities	capability	NOUN
cana-2553	88	22	that	that	PRON
cana-2553	88	23	cater	cater	VERB
cana-2553	88	24	to	to	ADP
cana-2553	88	25	different	different	ADJ
cana-2553	88	26	user	user	NOUN
cana-2553	88	27	needs	need	NOUN
cana-2553	88	28	and	and	CCONJ
cana-2553	88	29	applications	application	NOUN
cana-2553	88	30	.	.	PUNCT
cana-2553	89	1	this	this	DET
cana-2553	89	2	comparison	comparison	NOUN
cana-2553	89	3	focuses	focus	VERB
cana-2553	89	4	on	on	ADP
cana-2553	89	5	three	three	NUM
cana-2553	89	6	prominent	prominent	ADJ
cana-2553	89	7	ai	ai	NOUN
cana-2553	89	8	platforms	platform	NOUN
cana-2553	89	9	:	:	PUNCT
cana-2553	89	10	openai	openai	ADJ
cana-2553	89	11	,	,	PUNCT
cana-2553	89	12	google	google	PROPN
cana-2553	89	13	generative	generative	ADJ
cana-2553	89	14	ai	ai	PROPN
cana-2553	89	15	,	,	PUNCT
cana-2553	89	16	and	and	CCONJ
cana-2553	89	17	hugging	hug	VERB
cana-2553	89	18	face	face	NOUN
cana-2553	89	19	.	.	PUNCT
cana-2553	90	1	each	each	DET
cana-2553	90	2	platform	platform	NOUN
cana-2553	90	3	presents	present	VERB
cana-2553	90	4	distinct	distinct	ADJ
cana-2553	90	5	features	feature	NOUN
cana-2553	90	6	,	,	PUNCT
cana-2553	90	7	advantages	advantage	NOUN
cana-2553	90	8	,	,	PUNCT
cana-2553	90	9	and	and	CCONJ
cana-2553	90	10	limitations	limitation	NOUN
cana-2553	90	11	that	that	PRON
cana-2553	90	12	impact	impact	VERB
cana-2553	90	13	their	their	PRON
cana-2553	90	14	usability	usability	NOUN
cana-2553	90	15	and	and	CCONJ
cana-2553	90	16	effectiveness	effectiveness	NOUN
cana-2553	90	17	in	in	ADP
cana-2553	90	18	various	various	ADJ
cana-2553	90	19	contexts	contexts	NOUN
cana-2553	90	20	,	,	PUNCT
cana-2553	90	21	particularly	particularly	ADV
cana-2553	90	22	in	in	ADP
cana-2553	90	23	the	the	DET
cana-2553	90	24	realm	realm	NOUN
cana-2553	90	25	of	of	ADP
cana-2553	90	26	natural	natural	ADJ
cana-2553	90	27	language	language	NOUN
cana-2553	90	28	processing	processing	NOUN
cana-2553	90	29	(	(	PUNCT
cana-2553	90	30	nlp	nlp	NOUN
cana-2553	90	31	)	)	PUNCT
cana-2553	90	32	and	and	CCONJ
cana-2553	90	33	machine	machine	NOUN
cana-2553	90	34	learning	learning	NOUN
cana-2553	90	35	.	.	PUNCT
cana-2553	91	1	1	1	X
cana-2553	91	2	.	.	X
cana-2553	91	3	openai	openai	PROPN
cana-2553	91	4	openai	openai	PROPN
cana-2553	91	5	is	be	AUX
cana-2553	91	6	renowned	renowned	ADJ
cana-2553	91	7	for	for	ADP
cana-2553	91	8	its	its	PRON
cana-2553	91	9	sophisticated	sophisticated	ADJ
cana-2553	91	10	language	language	NOUN
cana-2553	91	11	models	model	NOUN
cana-2553	91	12	,	,	PUNCT
cana-2553	91	13	particularly	particularly	ADV
cana-2553	91	14	the	the	DET
cana-2553	91	15	gpt	gpt	NOUN
cana-2553	91	16	series	series	NOUN
cana-2553	91	17	,	,	PUNCT
cana-2553	91	18	which	which	PRON
cana-2553	91	19	are	be	AUX
cana-2553	91	20	adept	adept	ADJ
cana-2553	91	21	at	at	ADP
cana-2553	91	22	understanding	understanding	NOUN
cana-2553	91	23	and	and	CCONJ
cana-2553	91	24	generating	generate	VERB
cana-2553	91	25	human	human	ADJ
cana-2553	91	26	-	-	PUNCT
cana-2553	91	27	like	like	ADJ
cana-2553	91	28	text	text	NOUN
cana-2553	91	29	.	.	PUNCT
cana-2553	92	1	these	these	DET
cana-2553	92	2	models	model	NOUN
cana-2553	92	3	can	can	AUX
cana-2553	92	4	be	be	AUX
cana-2553	92	5	applied	apply	VERB
cana-2553	92	6	across	across	ADP
cana-2553	92	7	various	various	ADJ
cana-2553	92	8	domains	domain	NOUN
cana-2553	92	9	,	,	PUNCT
cana-2553	92	10	including	include	VERB
cana-2553	92	11	chatbots	chatbot	NOUN
cana-2553	92	12	,	,	PUNCT
cana-2553	92	13	content	content	NOUN
cana-2553	92	14	generation	generation	NOUN
cana-2553	92	15	,	,	PUNCT
cana-2553	92	16	and	and	CCONJ
cana-2553	92	17	more	more	ADJ
cana-2553	92	18	.	.	PUNCT
cana-2553	93	1	openai	openai	PROPN
cana-2553	93	2	offers	offer	VERB
cana-2553	93	3	a	a	DET
cana-2553	93	4	comprehensive	comprehensive	ADJ
cana-2553	93	5	api	api	NOUN
cana-2553	93	6	that	that	PRON
cana-2553	93	7	enables	enable	VERB
cana-2553	93	8	developers	developer	NOUN
cana-2553	93	9	to	to	PART
cana-2553	93	10	seamlessly	seamlessly	ADV
cana-2553	93	11	incorporate	incorporate	VERB
cana-2553	93	12	these	these	DET
cana-2553	93	13	models	model	NOUN
cana-2553	93	14	into	into	ADP
cana-2553	93	15	their	their	PRON
cana-2553	93	16	applications	application	NOUN
cana-2553	93	17	.	.	PUNCT
cana-2553	94	1	disadvantages	disadvantage	NOUN
cana-2553	94	2	:	:	PUNCT
cana-2553	94	3	cost	cost	NOUN
cana-2553	94	4	:	:	PUNCT
cana-2553	94	5	utilizing	utilize	VERB
cana-2553	94	6	openai	openai	NOUN
cana-2553	94	7	's	's	PART
cana-2553	94	8	api	api	NOUN
cana-2553	94	9	can	can	AUX
cana-2553	94	10	be	be	AUX
cana-2553	94	11	expensive	expensive	ADJ
cana-2553	94	12	,	,	PUNCT
cana-2553	94	13	especially	especially	ADV
cana-2553	94	14	for	for	ADP
cana-2553	94	15	projects	project	NOUN
cana-2553	94	16	that	that	PRON
cana-2553	94	17	demand	demand	VERB
cana-2553	94	18	high	high	ADJ
cana-2553	94	19	interaction	interaction	NOUN
cana-2553	94	20	levels	level	NOUN
cana-2553	94	21	or	or	CCONJ
cana-2553	94	22	large	large	ADJ
cana-2553	94	23	volumes	volume	NOUN
cana-2553	94	24	of	of	ADP
cana-2553	94	25	queries	query	NOUN
cana-2553	94	26	.	.	PUNCT
cana-2553	95	1	usage	usage	NOUN
cana-2553	95	2	limits	limit	NOUN
cana-2553	95	3	:	:	PUNCT
cana-2553	95	4	the	the	DET
cana-2553	95	5	free	free	ADJ
cana-2553	95	6	tier	tier	NOUN
cana-2553	95	7	comes	come	VERB
cana-2553	95	8	with	with	ADP
cana-2553	95	9	stringent	stringent	ADJ
cana-2553	95	10	usage	usage	NOUN
cana-2553	95	11	restrictions	restriction	NOUN
cana-2553	95	12	,	,	PUNCT
cana-2553	95	13	which	which	PRON
cana-2553	95	14	may	may	AUX
cana-2553	95	15	limit	limit	VERB
cana-2553	95	16	experimentation	experimentation	NOUN
cana-2553	95	17	and	and	CCONJ
cana-2553	95	18	development	development	NOUN
cana-2553	95	19	for	for	ADP
cana-2553	95	20	students	student	NOUN
cana-2553	95	21	or	or	CCONJ
cana-2553	95	22	smaller	small	ADJ
cana-2553	95	23	initiatives	initiative	NOUN
cana-2553	95	24	.	.	PUNCT
cana-2553	96	1	complexity	complexity	NOUN
cana-2553	96	2	:	:	PUNCT
cana-2553	96	3	while	while	SCONJ
cana-2553	96	4	the	the	DET
cana-2553	96	5	models	model	NOUN
cana-2553	96	6	are	be	AUX
cana-2553	96	7	powerful	powerful	ADJ
cana-2553	96	8	,	,	PUNCT
cana-2553	96	9	the	the	DET
cana-2553	96	10	intricacies	intricacy	NOUN
cana-2553	96	11	involved	involve	VERB
cana-2553	96	12	in	in	ADP
cana-2553	96	13	their	their	PRON
cana-2553	96	14	usage	usage	NOUN
cana-2553	96	15	may	may	AUX
cana-2553	96	16	pose	pose	VERB
cana-2553	96	17	challenges	challenge	NOUN
cana-2553	96	18	for	for	ADP
cana-2553	96	19	those	those	PRON
cana-2553	96	20	who	who	PRON
cana-2553	96	21	are	be	AUX
cana-2553	96	22	new	new	ADJ
cana-2553	96	23	to	to	ADP
cana-2553	96	24	the	the	DET
cana-2553	96	25	technology	technology	NOUN
cana-2553	96	26	..	..	PUNCT
cana-2553	97	1	2	2	X
cana-2553	97	2	.	.	X
cana-2553	98	1	google	google	PROPN
cana-2553	98	2	generative	generative	PROPN
cana-2553	98	3	ai	ai	PROPN
cana-2553	98	4	google	google	PROPN
cana-2553	98	5	provides	provide	VERB
cana-2553	98	6	a	a	DET
cana-2553	98	7	suite	suite	NOUN
cana-2553	98	8	of	of	ADP
cana-2553	98	9	generative	generative	ADJ
cana-2553	98	10	ai	ai	PROPN
cana-2553	98	11	models	model	NOUN
cana-2553	98	12	tailored	tailor	VERB
cana-2553	98	13	for	for	ADP
cana-2553	98	14	tasks	task	NOUN
cana-2553	98	15	like	like	ADP
cana-2553	98	16	content	content	NOUN
cana-2553	98	17	creation	creation	NOUN
cana-2553	98	18	and	and	CCONJ
cana-2553	98	19	code	code	NOUN
cana-2553	98	20	generation	generation	NOUN
cana-2553	98	21	.	.	PUNCT
cana-2553	99	1	these	these	DET
cana-2553	99	2	models	model	NOUN
cana-2553	99	3	benefit	benefit	VERB
cana-2553	99	4	from	from	ADP
cana-2553	99	5	google	google	PROPN
cana-2553	99	6	’s	’s	PART
cana-2553	99	7	vast	vast	ADJ
cana-2553	99	8	data	datum	NOUN
cana-2553	99	9	and	and	CCONJ
cana-2553	99	10	advanced	advanced	ADJ
cana-2553	99	11	machine	machine	NOUN
cana-2553	99	12	learning	learn	VERB
cana-2553	99	13	infrastructure	infrastructure	NOUN
cana-2553	99	14	,	,	PUNCT
cana-2553	99	15	yielding	yield	VERB
cana-2553	99	16	high	high	ADJ
cana-2553	99	17	-	-	PUNCT
cana-2553	99	18	quality	quality	NOUN
cana-2553	99	19	results	result	NOUN
cana-2553	99	20	across	across	ADP
cana-2553	99	21	a	a	DET
cana-2553	99	22	variety	variety	NOUN
cana-2553	99	23	of	of	ADP
cana-2553	99	24	applications	application	NOUN
cana-2553	99	25	.	.	PUNCT
cana-2553	100	1	disadvantages	disadvantage	NOUN
cana-2553	100	2	:	:	PUNCT
cana-2553	101	1	cost	cost	NOUN
cana-2553	101	2	:	:	PUNCT
cana-2553	101	3	similar	similar	ADJ
cana-2553	101	4	to	to	ADP
cana-2553	101	5	openai	openai	PROPN
cana-2553	101	6	,	,	PUNCT
cana-2553	101	7	using	use	VERB
cana-2553	101	8	google	google	PROPN
cana-2553	101	9	’s	’s	PART
cana-2553	101	10	models	model	NOUN
cana-2553	101	11	can	can	AUX
cana-2553	101	12	lead	lead	VERB
cana-2553	101	13	to	to	ADP
cana-2553	101	14	considerable	considerable	ADJ
cana-2553	101	15	expenses	expense	NOUN
cana-2553	101	16	,	,	PUNCT
cana-2553	101	17	particularly	particularly	ADV
cana-2553	101	18	in	in	ADP
cana-2553	101	19	business	business	NOUN
cana-2553	101	20	environments	environment	NOUN
cana-2553	101	21	.	.	PUNCT
cana-2553	102	1	usage	usage	NOUN
cana-2553	102	2	limits	limit	NOUN
cana-2553	102	3	:	:	PUNCT
cana-2553	102	4	google	google	PROPN
cana-2553	102	5	also	also	ADV
cana-2553	102	6	places	place	VERB
cana-2553	102	7	restrictions	restriction	NOUN
cana-2553	102	8	on	on	ADP
cana-2553	102	9	free	free	ADJ
cana-2553	102	10	usage	usage	NOUN
cana-2553	102	11	,	,	PUNCT
cana-2553	102	12	which	which	PRON
cana-2553	102	13	could	could	AUX
cana-2553	102	14	limit	limit	VERB
cana-2553	102	15	the	the	DET
cana-2553	102	16	capacity	capacity	NOUN
cana-2553	102	17	to	to	PART
cana-2553	102	18	conduct	conduct	VERB
cana-2553	102	19	extensive	extensive	ADJ
cana-2553	102	20	testing	testing	NOUN
cana-2553	102	21	.	.	PUNCT
cana-2553	103	1	integration	integration	NOUN
cana-2553	103	2	challenges	challenge	NOUN
cana-2553	103	3	:	:	PUNCT
cana-2553	103	4	implementing	implement	VERB
cana-2553	103	5	and	and	CCONJ
cana-2553	103	6	integrating	integrate	VERB
cana-2553	103	7	google	google	PROPN
cana-2553	103	8	’s	’s	PART
cana-2553	103	9	ai	ai	PROPN
cana-2553	103	10	solutions	solution	NOUN
cana-2553	103	11	can	can	AUX
cana-2553	103	12	be	be	AUX
cana-2553	103	13	intricate	intricate	ADJ
cana-2553	103	14	,	,	PUNCT
cana-2553	103	15	often	often	ADV
cana-2553	103	16	requiring	require	VERB
cana-2553	103	17	a	a	DET
cana-2553	103	18	deeper	deep	ADJ
cana-2553	103	19	understanding	understanding	NOUN
cana-2553	103	20	of	of	ADP
cana-2553	103	21	their	their	PRON
cana-2553	103	22	ecosystem	ecosystem	NOUN
cana-2553	103	23	.	.	PUNCT
cana-2553	104	1	communications	communication	NOUN
cana-2553	104	2	on	on	ADP
cana-2553	104	3	applied	apply	VERB
cana-2553	104	4	nonlinear	nonlinear	ADJ
cana-2553	104	5	analysis	analysis	NOUN
cana-2553	104	6	issn	issn	NOUN
cana-2553	104	7	:	:	PUNCT
cana-2553	104	8	1074	1074	NUM
cana-2553	104	9	-	-	PUNCT
cana-2553	104	10	133x	133x	NUM
cana-2553	104	11	vol	vol	NOUN
cana-2553	104	12	32	32	NUM
cana-2553	104	13	no	no	NOUN
cana-2553	104	14	.	.	PUNCT
cana-2553	105	1	3s	3s	NUM
cana-2553	105	2	(	(	PUNCT
cana-2553	105	3	2025	2025	NUM
cana-2553	105	4	)	)	PUNCT
cana-2553	105	5	97	97	NUM
cana-2553	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	105	7	3	3	X
cana-2553	105	8	.	.	X
cana-2553	105	9	hugging	hug	VERB
cana-2553	105	10	face	face	NOUN
cana-2553	105	11	hugging	hug	VERB
cana-2553	105	12	face	face	NOUN
cana-2553	105	13	is	be	AUX
cana-2553	105	14	an	an	DET
cana-2553	105	15	open	open	ADJ
cana-2553	105	16	-	-	PUNCT
cana-2553	105	17	source	source	NOUN
cana-2553	105	18	platform	platform	NOUN
cana-2553	105	19	that	that	PRON
cana-2553	105	20	offers	offer	VERB
cana-2553	105	21	a	a	DET
cana-2553	105	22	wide	wide	ADJ
cana-2553	105	23	range	range	NOUN
cana-2553	105	24	of	of	ADP
cana-2553	105	25	pre	pre	ADJ
cana-2553	105	26	-	-	ADJ
cana-2553	105	27	trained	train	VERB
cana-2553	105	28	models	model	NOUN
cana-2553	105	29	for	for	ADP
cana-2553	105	30	tasks	task	NOUN
cana-2553	105	31	in	in	ADP
cana-2553	105	32	natural	natural	ADJ
cana-2553	105	33	language	language	NOUN
cana-2553	105	34	processing	processing	NOUN
cana-2553	105	35	and	and	CCONJ
cana-2553	105	36	beyond	beyond	ADP
cana-2553	105	37	.	.	PUNCT
cana-2553	106	1	the	the	DET
cana-2553	106	2	hugging	hugging	ADJ
cana-2553	106	3	face	face	NOUN
cana-2553	106	4	transformers	transformer	NOUN
cana-2553	106	5	library	library	NOUN
cana-2553	106	6	allows	allow	VERB
cana-2553	106	7	users	user	NOUN
cana-2553	106	8	to	to	PART
cana-2553	106	9	easily	easily	ADV
cana-2553	106	10	access	access	VERB
cana-2553	106	11	and	and	CCONJ
cana-2553	106	12	customize	customize	VERB
cana-2553	106	13	these	these	DET
cana-2553	106	14	models	model	NOUN
cana-2553	106	15	,	,	PUNCT
cana-2553	106	16	making	make	VERB
cana-2553	106	17	it	it	PRON
cana-2553	106	18	appealing	appealing	ADJ
cana-2553	106	19	to	to	ADP
cana-2553	106	20	both	both	DET
cana-2553	106	21	novices	novice	NOUN
cana-2553	106	22	and	and	CCONJ
cana-2553	106	23	seasoned	seasoned	ADJ
cana-2553	106	24	users	user	NOUN
cana-2553	106	25	.	.	PUNCT
cana-2553	107	1	reasons	reason	NOUN
cana-2553	107	2	for	for	ADP
cana-2553	107	3	choosing	choose	VERB
cana-2553	107	4	hugging	hug	VERB
cana-2553	107	5	face	face	NOUN
cana-2553	107	6	:	:	PUNCT
cana-2553	107	7	cost	cost	NOUN
cana-2553	107	8	-	-	PUNCT
cana-2553	107	9	effective	effective	ADJ
cana-2553	107	10	:	:	PUNCT
cana-2553	107	11	models	model	NOUN
cana-2553	107	12	on	on	ADP
cana-2553	107	13	hugging	hug	VERB
cana-2553	107	14	face	face	NOUN
cana-2553	107	15	are	be	AUX
cana-2553	107	16	free	free	ADJ
cana-2553	107	17	to	to	PART
cana-2553	107	18	use	use	VERB
cana-2553	107	19	,	,	PUNCT
cana-2553	107	20	making	make	VERB
cana-2553	107	21	them	they	PRON
cana-2553	107	22	accessible	accessible	ADJ
cana-2553	107	23	for	for	ADP
cana-2553	107	24	students	student	NOUN
cana-2553	107	25	and	and	CCONJ
cana-2553	107	26	those	those	PRON
cana-2553	107	27	with	with	ADP
cana-2553	107	28	limited	limited	ADJ
cana-2553	107	29	budgets	budget	NOUN
cana-2553	107	30	.	.	PUNCT
cana-2553	108	1	open	open	ADJ
cana-2553	108	2	source	source	NOUN
cana-2553	108	3	:	:	PUNCT
cana-2553	108	4	the	the	DET
cana-2553	108	5	platform	platform	NOUN
cana-2553	108	6	fosters	foster	VERB
cana-2553	108	7	collaboration	collaboration	NOUN
cana-2553	108	8	and	and	CCONJ
cana-2553	108	9	resource	resource	NOUN
cana-2553	108	10	sharing	sharing	NOUN
cana-2553	108	11	,	,	PUNCT
cana-2553	108	12	enabling	enable	VERB
cana-2553	108	13	students	student	NOUN
cana-2553	108	14	to	to	PART
cana-2553	108	15	engage	engage	VERB
cana-2553	108	16	with	with	ADP
cana-2553	108	17	a	a	DET
cana-2553	108	18	lively	lively	ADJ
cana-2553	108	19	community	community	NOUN
cana-2553	108	20	and	and	CCONJ
cana-2553	108	21	share	share	VERB
cana-2553	108	22	their	their	PRON
cana-2553	108	23	discoveries	discovery	NOUN
cana-2553	108	24	.	.	PUNCT
cana-2553	109	1	flexibility	flexibility	NOUN
cana-2553	109	2	:	:	PUNCT
cana-2553	109	3	users	user	NOUN
cana-2553	109	4	can	can	AUX
cana-2553	109	5	fine	fine	ADJ
cana-2553	109	6	-	-	PUNCT
cana-2553	109	7	tune	tune	NOUN
cana-2553	109	8	models	model	NOUN
cana-2553	109	9	for	for	ADP
cana-2553	109	10	specific	specific	ADJ
cana-2553	109	11	applications	application	NOUN
cana-2553	109	12	without	without	ADP
cana-2553	109	13	incurring	incur	VERB
cana-2553	109	14	significant	significant	ADJ
cana-2553	109	15	costs	cost	NOUN
cana-2553	109	16	,	,	PUNCT
cana-2553	109	17	promoting	promote	VERB
cana-2553	109	18	extensive	extensive	ADJ
cana-2553	109	19	experimentation	experimentation	NOUN
cana-2553	109	20	and	and	CCONJ
cana-2553	109	21	learning	learning	NOUN
cana-2553	109	22	.	.	PUNCT
cana-2553	110	1	table	table	NOUN
cana-2553	110	2	1	1	NUM
cana-2553	110	3	below	below	ADV
cana-2553	110	4	gives	give	VERB
cana-2553	110	5	a	a	DET
cana-2553	110	6	comparison	comparison	NOUN
cana-2553	110	7	of	of	ADP
cana-2553	110	8	various	various	ADJ
cana-2553	110	9	language	language	NOUN
cana-2553	110	10	models	model	NOUN
cana-2553	110	11	that	that	PRON
cana-2553	110	12	have	have	AUX
cana-2553	110	13	been	be	AUX
cana-2553	110	14	identified	identify	VERB
cana-2553	110	15	for	for	ADP
cana-2553	110	16	the	the	DET
cana-2553	110	17	experimental	experimental	ADJ
cana-2553	110	18	set	set	VERB
cana-2553	110	19	up	up	ADP
cana-2553	110	20	.	.	PUNCT
cana-2553	111	1	it	it	PRON
cana-2553	111	2	further	far	ADV
cana-2553	111	3	elaborates	elaborate	VERB
cana-2553	111	4	on	on	ADP
cana-2553	111	5	the	the	DET
cana-2553	111	6	reason	reason	NOUN
cana-2553	111	7	behind	behind	ADP
cana-2553	111	8	selecting	select	VERB
cana-2553	111	9	the	the	DET
cana-2553	111	10	hugging	hugging	ADJ
cana-2553	111	11	model	model	NOUN
cana-2553	111	12	for	for	ADP
cana-2553	111	13	implementation	implementation	NOUN
cana-2553	111	14	purpose	purpose	NOUN
cana-2553	111	15	.	.	PUNCT
cana-2553	112	1	characteristics	characteristic	NOUN
cana-2553	112	2	openai	openai	VERB
cana-2553	112	3	googleai	googleai	PROPN
cana-2553	112	4	hugging	hug	VERB
cana-2553	112	5	face	face	NOUN
cana-2553	112	6	pricing	pricing	NOUN
cana-2553	112	7	paid	pay	VERB
cana-2553	112	8	paid	pay	VERB
cana-2553	112	9	free	free	ADJ
cana-2553	112	10	quality	quality	NOUN
cana-2553	112	11	high	high	ADJ
cana-2553	112	12	medium	medium	ADJ
cana-2553	112	13	low	low	ADJ
cana-2553	112	14	conversational	conversational	ADJ
cana-2553	112	15	capability	capability	NOUN
cana-2553	112	16	best	well	ADV
cana-2553	112	17	moderate	moderate	ADJ
cana-2553	112	18	low	low	ADJ
cana-2553	112	19	token	token	ADJ
cana-2553	112	20	limit	limit	NOUN
cana-2553	112	21	4000	4000	NUM
cana-2553	112	22	24000	24000	NUM
cana-2553	112	23	manual	manual	NOUN
cana-2553	112	24	setting	set	VERB
cana-2553	112	25	quota	quota	NOUN
cana-2553	112	26	impact	impact	NOUN
cana-2553	112	27	working	work	VERB
cana-2553	112	28	solution	solution	NOUN
cana-2553	112	29	not	not	PART
cana-2553	112	30	implemented	implement	VERB
cana-2553	112	31	due	due	ADJ
cana-2553	112	32	to	to	ADP
cana-2553	112	33	quota	quota	NOUN
cana-2553	112	34	limit	limit	NOUN
cana-2553	112	35	working	work	VERB
cana-2553	112	36	solution	solution	NOUN
cana-2553	112	37	not	not	PART
cana-2553	112	38	implemented	implement	VERB
cana-2553	112	39	due	due	ADJ
cana-2553	112	40	to	to	ADP
cana-2553	112	41	quota	quota	NOUN
cana-2553	112	42	limit	limit	NOUN
cana-2553	112	43	working	work	VERB
cana-2553	112	44	preliminary	preliminary	ADJ
cana-2553	112	45	solution	solution	NOUN
cana-2553	112	46	is	be	AUX
cana-2553	112	47	implemented	implement	VERB
cana-2553	112	48	using	use	VERB
cana-2553	112	49	'	'	PUNCT
cana-2553	112	50	gpt2	gpt2	PROPN
cana-2553	112	51	'	'	PUNCT
cana-2553	112	52	model	model	NOUN
cana-2553	112	53	table	table	NOUN
cana-2553	112	54	1	1	NUM
cana-2553	112	55	.	.	PUNCT
cana-2553	112	56	comparison	comparison	NOUN
cana-2553	112	57	of	of	ADP
cana-2553	112	58	language	language	NOUN
cana-2553	112	59	models	model	NOUN
cana-2553	112	60	algorithms	algorithm	NOUN
cana-2553	112	61	used	use	VERB
cana-2553	112	62	1	1	NUM
cana-2553	112	63	.	.	PUNCT
cana-2553	113	1	recommendation	recommendation	NOUN
cana-2553	113	2	algorithms	algorithm	NOUN
cana-2553	113	3	a.	a.	PROPN
cana-2553	113	4	collaborative	collaborative	PROPN
cana-2553	113	5	filtering	filtering	NOUN
cana-2553	113	6	:	:	PUNCT
cana-2553	113	7	i.user	i.user	NOUN
cana-2553	113	8	-	-	PUNCT
cana-2553	113	9	based	base	VERB
cana-2553	113	10	collaborative	collaborative	ADJ
cana-2553	113	11	filtering	filtering	NOUN
cana-2553	113	12	:	:	PUNCT
cana-2553	113	13	function	function	NOUN
cana-2553	113	14	user_based_collaborative_filtering(user_id	user_based_collaborative_filtering(user_id	NOUN
cana-2553	113	15	):	):	PUNCT
cana-2553	113	16	similar_users	similar_user	NOUN
cana-2553	113	17	=	=	SYM
cana-2553	113	18	find_similar_users(user_id	find_similar_users(user_id	PROPN
cana-2553	113	19	)	)	PUNCT
cana-2553	113	20	recommended_items	recommended_item	VERB
cana-2553	113	21	=	=	PUNCT
cana-2553	114	1	[	[	X
cana-2553	114	2	]	]	X
cana-2553	114	3	for	for	ADP
cana-2553	114	4	user	user	NOUN
cana-2553	114	5	in	in	ADP
cana-2553	114	6	similar_users	similar_user	NOUN
cana-2553	114	7	:	:	PUNCT
cana-2553	114	8	for	for	ADP
cana-2553	114	9	item	item	NOUN
cana-2553	114	10	in	in	ADP
cana-2553	114	11	user.recommended_items	user.recommended_item	NOUN
cana-2553	114	12	:	:	PUNCT
cana-2553	114	13	if	if	SCONJ
cana-2553	114	14	item	item	NOUN
cana-2553	114	15	not	not	PART
cana-2553	114	16	in	in	ADP
cana-2553	114	17	user.past_items	user.past_item	NOUN
cana-2553	114	18	:	:	PUNCT
cana-2553	114	19	communications	communication	NOUN
cana-2553	114	20	on	on	ADP
cana-2553	114	21	applied	apply	VERB
cana-2553	114	22	nonlinear	nonlinear	ADJ
cana-2553	114	23	analysis	analysis	NOUN
cana-2553	114	24	issn	issn	NOUN
cana-2553	114	25	:	:	PUNCT
cana-2553	114	26	1074	1074	NUM
cana-2553	114	27	-	-	PUNCT
cana-2553	114	28	133x	133x	NUM
cana-2553	114	29	vol	vol	NOUN
cana-2553	114	30	32	32	NUM
cana-2553	114	31	no	no	NOUN
cana-2553	114	32	.	.	PUNCT
cana-2553	115	1	3s	3s	NUM
cana-2553	115	2	(	(	PUNCT
cana-2553	115	3	2025	2025	NUM
cana-2553	115	4	)	)	PUNCT
cana-2553	115	5	98	98	NUM
cana-2553	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	115	7	recommended_items.append(item	recommended_items.append(item	NOUN
cana-2553	115	8	)	)	PUNCT
cana-2553	115	9	return	return	VERB
cana-2553	115	10	unique(recommended_items	unique(recommended_item	NOUN
cana-2553	115	11	)	)	PUNCT
cana-2553	115	12	ii.item	ii.item	NOUN
cana-2553	115	13	-	-	PUNCT
cana-2553	115	14	based	base	VERB
cana-2553	115	15	collaborative	collaborative	ADJ
cana-2553	115	16	filtering	filtering	NOUN
cana-2553	115	17	:	:	PUNCT
cana-2553	115	18	function	function	VERB
cana-2553	115	19	item_based_collaborative_filtering(item_id	item_based_collaborative_filtering(item_id	NOUN
cana-2553	115	20	):	):	PUNCT
cana-2553	115	21	similar_items	similar_items	PROPN
cana-2553	115	22	=	=	SYM
cana-2553	115	23	find_similar_items(item_id	find_similar_items(item_id	PROPN
cana-2553	115	24	)	)	PUNCT
cana-2553	115	25	return	return	NOUN
cana-2553	115	26	user_ratings_for(similar_items	user_ratings_for(similar_item	NOUN
cana-2553	115	27	)	)	PUNCT
cana-2553	115	28	b.	b.	PROPN
cana-2553	115	29	content	content	PROPN
cana-2553	115	30	-	-	PUNCT
cana-2553	115	31	based	base	VERB
cana-2553	115	32	filtering	filtering	NOUN
cana-2553	115	33	:	:	PUNCT
cana-2553	115	34	i.tf	i.tf	PROPN
cana-2553	115	35	-	-	PROPN
cana-2553	115	36	idf	idf	PROPN
cana-2553	115	37	(	(	PUNCT
cana-2553	115	38	term	term	NOUN
cana-2553	115	39	frequency	frequency	NOUN
cana-2553	115	40	-	-	PUNCT
cana-2553	115	41	inverse	inverse	NOUN
cana-2553	115	42	document	document	NOUN
cana-2553	115	43	frequency	frequency	NOUN
cana-2553	115	44	):	):	PUNCT
cana-2553	115	45	function	function	NOUN
cana-2553	115	46	calculate_tfidf(document	calculate_tfidf(document	NOUN
cana-2553	115	47	,	,	PUNCT
cana-2553	115	48	corpus	corpu	NOUN
cana-2553	115	49	):	):	PUNCT
cana-2553	115	50	tf	tf	PROPN
cana-2553	115	51	=	=	SYM
cana-2553	115	52	term_frequency(document	term_frequency(document	PROPN
cana-2553	115	53	)	)	PUNCT
cana-2553	115	54	idf	idf	NOUN
cana-2553	115	55	=	=	SYM
cana-2553	115	56	inverse_document_frequency(corpus	inverse_document_frequency(corpus	PROPN
cana-2553	115	57	)	)	PUNCT
cana-2553	115	58	tfidf	tfidf	NOUN
cana-2553	115	59	=	=	PUNCT
cana-2553	116	1	tf	tf	INTJ
cana-2553	116	2	*	*	PUNCT
cana-2553	116	3	i	i	PRON
cana-2553	116	4	d	d	PROPN
cana-2553	116	5	return	return	NOUN
cana-2553	116	6	tfidf	tfidf	NOUN
cana-2553	116	7	ii.cosine	ii.cosine	PUNCT
cana-2553	116	8	similarity	similarity	NOUN
cana-2553	116	9	:	:	PUNCT
cana-2553	116	10	function	function	NOUN
cana-2553	116	11	cosine_similarity(vector_a	cosine_similarity(vector_a	PROPN
cana-2553	116	12	,	,	PUNCT
cana-2553	116	13	vector_b	vector_b	ADV
cana-2553	116	14	):	):	PUNCT
cana-2553	116	15	dot_product	dot_product	NOUN
cana-2553	116	16	=	=	PUNCT
cana-2553	116	17	sum(a	sum(a	PROPN
cana-2553	116	18	*	*	PUNCT
cana-2553	116	19	b	b	PROPN
cana-2553	116	20	for	for	ADP
cana-2553	116	21	a	a	DET
cana-2553	116	22	,	,	PUNCT
cana-2553	116	23	b	b	NOUN
cana-2553	116	24	in	in	ADP
cana-2553	116	25	zip(vector_a	zip(vector_a	PROPN
cana-2553	116	26	,	,	PUNCT
cana-2553	116	27	vector_b	vector_b	NOUN
cana-2553	116	28	)	)	PUNCT
cana-2553	116	29	)	)	PUNCT
cana-2553	116	30	magnitude_a	magnitude_a	NOUN
cana-2553	117	1	=	=	PUNCT
cana-2553	117	2	sqrt(sum(a	sqrt(sum(a	NOUN
cana-2553	117	3	*	*	PUNCT
cana-2553	117	4	a	a	PRON
cana-2553	117	5	for	for	ADP
cana-2553	117	6	a	a	PRON
cana-2553	117	7	in	in	ADP
cana-2553	117	8	vector_a	vector_a	NOUN
cana-2553	117	9	)	)	PUNCT
cana-2553	117	10	)	)	PUNCT
cana-2553	117	11	magnitude_b	magnitude_b	NOUN
cana-2553	118	1	=	=	PUNCT
cana-2553	118	2	sqrt(sum(b	sqrt(sum(b	PROPN
cana-2553	118	3	*	*	SYM
cana-2553	118	4	b	b	PROPN
cana-2553	118	5	for	for	ADP
cana-2553	118	6	b	b	NOUN
cana-2553	118	7	in	in	ADP
cana-2553	118	8	vector_b	vector_b	NUM
cana-2553	118	9	)	)	PUNCT
cana-2553	118	10	)	)	PUNCT
cana-2553	119	1	if	if	SCONJ
cana-2553	119	2	magnitude_a	magnitude_a	NOUN
cana-2553	119	3	=	=	NOUN
cana-2553	119	4	=	=	SYM
cana-2553	119	5	0	0	NUM
cana-2553	119	6	or	or	CCONJ
cana-2553	119	7	magnitude_b	magnitude_b	NOUN
cana-2553	120	1	=	=	SYM
cana-2553	120	2	=	=	SYM
cana-2553	120	3	0	0	NUM
cana-2553	120	4	:	:	PUNCT
cana-2553	120	5	return	return	NOUN
cana-2553	120	6	0	0	NUM
cana-2553	120	7	return	return	NOUN
cana-2553	120	8	dot_product	dot_product	VERB
cana-2553	120	9	/	/	SYM
cana-2553	120	10	(	(	PUNCT
cana-2553	120	11	magnitude_a	magnitude_a	NOUN
cana-2553	120	12	*	*	SYM
cana-2553	120	13	magnitude_b	magnitude_b	NOUN
cana-2553	120	14	)	)	PUNCT
cana-2553	120	15	figure	figure	NOUN
cana-2553	120	16	3.1	3.1	NUM
cana-2553	120	17	.	.	PUNCT
cana-2553	121	1	further	further	PROPN
cana-2553	121	2	elaborates	elaborate	VERB
cana-2553	121	3	on	on	ADP
cana-2553	121	4	the	the	DET
cana-2553	121	5	working	working	NOUN
cana-2553	121	6	of	of	ADP
cana-2553	121	7	the	the	DET
cana-2553	121	8	system	system	NOUN
cana-2553	121	9	through	through	ADP
cana-2553	121	10	the	the	DET
cana-2553	121	11	flowchart	flowchart	PROPN
cana-2553	121	12	representation	representation	PROPN
cana-2553	121	13	fig	fig	NOUN
cana-2553	121	14	3.1	3.1	NUM
cana-2553	121	15	recommendation	recommendation	NOUN
cana-2553	121	16	system	system	NOUN
cana-2553	121	17	flowchart	flowchart	NOUN
cana-2553	121	18	communications	communication	NOUN
cana-2553	121	19	on	on	ADP
cana-2553	121	20	applied	apply	VERB
cana-2553	121	21	nonlinear	nonlinear	ADJ
cana-2553	121	22	analysis	analysis	NOUN
cana-2553	121	23	issn	issn	NOUN
cana-2553	121	24	:	:	PUNCT
cana-2553	121	25	1074	1074	NUM
cana-2553	121	26	-	-	PUNCT
cana-2553	121	27	133x	133x	NUM
cana-2553	121	28	vol	vol	NOUN
cana-2553	121	29	32	32	NUM
cana-2553	121	30	no	no	NOUN
cana-2553	121	31	.	.	PUNCT
cana-2553	122	1	3s	3s	NUM
cana-2553	122	2	(	(	PUNCT
cana-2553	122	3	2025	2025	NUM
cana-2553	122	4	)	)	PUNCT
cana-2553	122	5	99	99	NUM
cana-2553	122	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	122	7	machine	machine	NOUN
cana-2553	122	8	learning	learn	VERB
cana-2553	122	9	algorithms	algorithms	NOUN
cana-2553	122	10	purpose	purpose	NOUN
cana-2553	122	11	of	of	ADP
cana-2553	122	12	the	the	DET
cana-2553	122	13	machine	machine	NOUN
cana-2553	122	14	learning	learn	VERB
cana-2553	122	15	algorithms	algorithm	NOUN
cana-2553	122	16	used	use	VERB
cana-2553	122	17	was	be	AUX
cana-2553	122	18	to	to	PART
cana-2553	122	19	predict	predict	VERB
cana-2553	122	20	train	train	NOUN
cana-2553	122	21	delays	delay	NOUN
cana-2553	122	22	and	and	CCONJ
cana-2553	122	23	user	user	NOUN
cana-2553	122	24	behavior	behavior	NOUN
cana-2553	122	25	based	base	VERB
cana-2553	122	26	on	on	ADP
cana-2553	122	27	historical	historical	ADJ
cana-2553	122	28	data	datum	NOUN
cana-2553	122	29	.	.	PUNCT
cana-2553	123	1	the	the	DET
cana-2553	123	2	various	various	ADJ
cana-2553	123	3	algorithms	algorithm	NOUN
cana-2553	123	4	considered	consider	VERB
cana-2553	123	5	included	include	VERB
cana-2553	123	6	:	:	PUNCT
cana-2553	123	7	1.regression	1.regression	NUM
cana-2553	123	8	analysis	analysis	NOUN
cana-2553	123	9	:	:	PUNCT
cana-2553	123	10	these	these	DET
cana-2553	123	11	algorithms	algorithm	NOUN
cana-2553	123	12	are	be	AUX
cana-2553	123	13	used	use	VERB
cana-2553	123	14	to	to	PART
cana-2553	123	15	determine	determine	VERB
cana-2553	123	16	the	the	DET
cana-2553	123	17	trend	trend	NOUN
cana-2553	123	18	or	or	CCONJ
cana-2553	123	19	pattern	pattern	NOUN
cana-2553	123	20	for	for	ADP
cana-2553	123	21	any	any	DET
cana-2553	123	22	given	give	VERB
cana-2553	123	23	situation	situation	NOUN
cana-2553	123	24	.	.	PUNCT
cana-2553	124	1	for	for	SCONJ
cana-2553	124	2	the	the	DET
cana-2553	124	3	railways	railway	NOUN
cana-2553	124	4	problem	problem	NOUN
cana-2553	124	5	too	too	ADV
cana-2553	124	6	,	,	PUNCT
cana-2553	124	7	the	the	DET
cana-2553	124	8	regression	regression	NOUN
cana-2553	124	9	algorithms	algorithm	NOUN
cana-2553	124	10	considered	consider	VERB
cana-2553	124	11	are	be	AUX
cana-2553	124	12	the	the	DET
cana-2553	124	13	linear	linear	ADJ
cana-2553	124	14	and	and	CCONJ
cana-2553	124	15	logistic	logistic	ADJ
cana-2553	124	16	regressions	regression	NOUN
cana-2553	124	17	as	as	SCONJ
cana-2553	124	18	elaborated	elaborate	VERB
cana-2553	124	19	below	below	ADV
cana-2553	124	20	.	.	PUNCT
cana-2553	125	1	a.	a.	PROPN
cana-2553	125	2	linear	linear	PROPN
cana-2553	125	3	regression	regression	PROPN
cana-2553	125	4	:	:	PUNCT
cana-2553	125	5	as	as	SCONJ
cana-2553	125	6	represented	represent	VERB
cana-2553	125	7	in	in	ADP
cana-2553	125	8	fig	fig	NOUN
cana-2553	125	9	4.1	4.1	NUM
cana-2553	125	10	,	,	PUNCT
cana-2553	125	11	the	the	DET
cana-2553	125	12	linear	linear	ADJ
cana-2553	125	13	regression	regression	NOUN
cana-2553	125	14	is	be	AUX
cana-2553	125	15	implemented	implement	VERB
cana-2553	125	16	through	through	ADP
cana-2553	125	17	the	the	DET
cana-2553	125	18	function	function	NOUN
cana-2553	125	19	mentioned	mention	VERB
cana-2553	125	20	next	next	ADV
cana-2553	125	21	.	.	PUNCT
cana-2553	126	1	function	function	NOUN
cana-2553	126	2	linear_regression(training_data	linear_regression(training_data	NUM
cana-2553	126	3	):	):	PUNCT
cana-2553	126	4	coefficients	coefficient	NOUN
cana-2553	126	5	=	=	SYM
cana-2553	126	6	initialize_coefficients	initialize_coefficient	NOUN
cana-2553	126	7	(	(	PUNCT
cana-2553	126	8	)	)	PUNCT
cana-2553	126	9	for	for	ADP
cana-2553	126	10	epoch	epoch	NOUN
cana-2553	126	11	in	in	ADP
cana-2553	126	12	range(num_epochs	range(num_epochs	PROPN
cana-2553	126	13	):	):	PUNCT
cana-2553	126	14	for	for	ADP
cana-2553	126	15	data_point	data_point	NOUN
cana-2553	126	16	in	in	ADP
cana-2553	126	17	training_data	training_data	PROPN
cana-2553	126	18	:	:	PUNCT
cana-2553	126	19	prediction	prediction	NOUN
cana-2553	126	20	=	=	SYM
cana-2553	126	21	predict(data_point.features	predict(data_point.feature	NOUN
cana-2553	126	22	,	,	PUNCT
cana-2553	126	23	coefficients	coefficient	NOUN
cana-2553	126	24	)	)	PUNCT
cana-2553	126	25	error	error	NOUN
cana-2553	126	26	=	=	NOUN
cana-2553	126	27	prediction	prediction	NOUN
cana-2553	126	28	data_point.target	data_point.target	X
cana-2553	126	29	update_coefficients(coefficients	update_coefficients(coefficient	NOUN
cana-2553	126	30	,	,	PUNCT
cana-2553	126	31	error	error	NOUN
cana-2553	126	32	,	,	PUNCT
cana-2553	126	33	data_point.features	data_point.feature	NOUN
cana-2553	126	34	)	)	PUNCT
cana-2553	126	35	return	return	VERB
cana-2553	126	36	coefficients	coefficient	NOUN
cana-2553	126	37	fig	fig	NOUN
cana-2553	126	38	4.1	4.1	NUM
cana-2553	126	39	linear	linear	NOUN
cana-2553	126	40	regression	regression	NOUN
cana-2553	126	41	algorithm	algorithm	PROPN
cana-2553	126	42	b.	b.	PROPN
cana-2553	127	1	logistic	logistic	PROPN
cana-2553	127	2	regression	regression	PROPN
cana-2553	127	3	:	:	PUNCT
cana-2553	127	4	using	use	VERB
cana-2553	127	5	the	the	DET
cana-2553	127	6	logarithmic	logarithmic	ADJ
cana-2553	127	7	function	function	NOUN
cana-2553	127	8	,	,	PUNCT
cana-2553	127	9	the	the	DET
cana-2553	127	10	logistic	logistic	ADJ
cana-2553	127	11	regression	regression	NOUN
cana-2553	127	12	technique	technique	NOUN
cana-2553	127	13	is	be	AUX
cana-2553	127	14	incorporated	incorporate	VERB
cana-2553	127	15	as	as	SCONJ
cana-2553	127	16	indicated	indicate	VERB
cana-2553	127	17	below	below	ADV
cana-2553	127	18	in	in	ADP
cana-2553	127	19	figure	figure	NOUN
cana-2553	127	20	4.2	4.2	NUM
cana-2553	127	21	function	function	NOUN
cana-2553	127	22	logistic_regression(training_data	logistic_regression(training_data	NOUN
cana-2553	127	23	):	):	PUNCT
cana-2553	127	24	coefficients	coefficient	NOUN
cana-2553	127	25	=	=	SYM
cana-2553	127	26	initialize_coefficients	initialize_coefficient	NOUN
cana-2553	127	27	(	(	PUNCT
cana-2553	127	28	)	)	PUNCT
cana-2553	127	29	for	for	ADP
cana-2553	127	30	epoch	epoch	NOUN
cana-2553	127	31	in	in	ADP
cana-2553	127	32	range(num_epochs	range(num_epochs	PROPN
cana-2553	127	33	):	):	PUNCT
cana-2553	127	34	for	for	ADP
cana-2553	127	35	data_point	data_point	NOUN
cana-2553	127	36	in	in	ADP
cana-2553	127	37	training_data	training_data	PROPN
cana-2553	127	38	:	:	PUNCT
cana-2553	127	39	communications	communication	NOUN
cana-2553	127	40	on	on	ADP
cana-2553	127	41	applied	apply	VERB
cana-2553	127	42	nonlinear	nonlinear	ADJ
cana-2553	127	43	analysis	analysis	NOUN
cana-2553	127	44	issn	issn	NOUN
cana-2553	127	45	:	:	PUNCT
cana-2553	127	46	1074	1074	NUM
cana-2553	127	47	-	-	PUNCT
cana-2553	127	48	133x	133x	NUM
cana-2553	127	49	vol	vol	NOUN
cana-2553	127	50	32	32	NUM
cana-2553	127	51	no	no	NOUN
cana-2553	127	52	.	.	PUNCT
cana-2553	128	1	3s	3s	NUM
cana-2553	128	2	(	(	PUNCT
cana-2553	128	3	2025	2025	NUM
cana-2553	128	4	)	)	PUNCT
cana-2553	128	5	100	100	NUM
cana-2553	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	128	7	prediction	prediction	NOUN
cana-2553	128	8	=	=	SYM
cana-2553	128	9	sigmoid(predict(data_point.features	sigmoid(predict(data_point.feature	NOUN
cana-2553	128	10	,	,	PUNCT
cana-2553	128	11	coefficients	coefficient	NOUN
cana-2553	128	12	)	)	PUNCT
cana-2553	128	13	)	)	PUNCT
cana-2553	128	14	error	error	NOUN
cana-2553	128	15	=	=	NOUN
cana-2553	128	16	prediction	prediction	NOUN
cana-2553	128	17	data_point.target	data_point.target	X
cana-2553	128	18	update_coefficients(coefficients	update_coefficients(coefficient	NOUN
cana-2553	128	19	,	,	PUNCT
cana-2553	128	20	error	error	NOUN
cana-2553	128	21	,	,	PUNCT
cana-2553	128	22	data_point.features	data_point.feature	NOUN
cana-2553	128	23	)	)	PUNCT
cana-2553	128	24	return	return	VERB
cana-2553	128	25	coefficients	coefficient	NOUN
cana-2553	128	26	fig	fig	NOUN
cana-2553	128	27	4.2	4.2	NUM
cana-2553	128	28	logistic	logistic	ADJ
cana-2553	128	29	regression	regression	NOUN
cana-2553	128	30	algorithm	algorithm	NOUN
cana-2553	128	31	c.	c.	PROPN
cana-2553	128	32	decision	decision	NOUN
cana-2553	128	33	trees	tree	NOUN
cana-2553	128	34	:	:	PUNCT
cana-2553	128	35	cart	cart	NOUN
cana-2553	128	36	(	(	PUNCT
cana-2553	128	37	classification	classification	NOUN
cana-2553	128	38	and	and	CCONJ
cana-2553	128	39	regression	regression	NOUN
cana-2553	128	40	trees	tree	NOUN
cana-2553	128	41	):	):	PUNCT
cana-2553	128	42	this	this	PRON
cana-2553	128	43	is	be	AUX
cana-2553	128	44	represented	represent	VERB
cana-2553	128	45	through	through	ADP
cana-2553	128	46	the	the	DET
cana-2553	128	47	fig	fig	NOUN
cana-2553	128	48	4.3	4.3	NUM
cana-2553	128	49	and	and	CCONJ
cana-2553	128	50	its	its	PRON
cana-2553	128	51	implementation	implementation	NOUN
cana-2553	128	52	is	be	AUX
cana-2553	128	53	observed	observe	VERB
cana-2553	128	54	through	through	ADP
cana-2553	128	55	the	the	DET
cana-2553	128	56	algorithm	algorithm	NOUN
cana-2553	128	57	steps	step	NOUN
cana-2553	128	58	mentioned	mention	VERB
cana-2553	128	59	below	below	ADP
cana-2553	128	60	function	function	NOUN
cana-2553	128	61	cart(training_data	cart(training_data	PROPN
cana-2553	128	62	):	):	PUNCT
cana-2553	128	63	if	if	SCONJ
cana-2553	128	64	stopping_condition_met(training_data	stopping_condition_met(training_data	X
cana-2553	128	65	):	):	PUNCT
cana-2553	128	66	return	return	NOUN
cana-2553	128	67	create_leaf_node(training_data	create_leaf_node(training_data	NOUN
cana-2553	128	68	)	)	PUNCT
cana-2553	128	69	best_split	best_split	PROPN
cana-2553	128	70	=	=	SYM
cana-2553	128	71	find_best_split(training_data	find_best_split(training_data	PROPN
cana-2553	128	72	)	)	PUNCT
cana-2553	128	73	left_data	left_data	NOUN
cana-2553	128	74	,	,	PUNCT
cana-2553	128	75	right_data	right_data	NOUN
cana-2553	128	76	=	=	SYM
cana-2553	128	77	split_data(training_data	split_data(training_data	PROPN
cana-2553	128	78	,	,	PUNCT
cana-2553	128	79	best_split	best_split	ADJ
cana-2553	128	80	)	)	PUNCT
cana-2553	128	81	node	node	NOUN
cana-2553	128	82	=	=	SYM
cana-2553	128	83	create_internal_node(best_split	create_internal_node(best_split	ADJ
cana-2553	128	84	)	)	PUNCT
cana-2553	128	85	node.left	node.left	NOUN
cana-2553	129	1	=	=	SYM
cana-2553	129	2	cart(left_data	cart(left_data	NOUN
cana-2553	129	3	)	)	PUNCT
cana-2553	130	1	node.right	node.right	PROPN
cana-2553	130	2	=	=	NOUN
cana-2553	130	3	cart(right_data	cart(right_data	PROPN
cana-2553	130	4	)	)	PUNCT
cana-2553	130	5	return	return	VERB
cana-2553	130	6	node	node	ADJ
cana-2553	130	7	fig	fig	NOUN
cana-2553	130	8	4.3	4.3	NUM
cana-2553	130	9	cart	cart	NOUN
cana-2553	130	10	algorithm	algorithm	NOUN
cana-2553	130	11	d.natural	d.natural	ADJ
cana-2553	130	12	language	language	NOUN
cana-2553	130	13	processing	processing	NOUN
cana-2553	130	14	(	(	PUNCT
cana-2553	130	15	nlp	nlp	NOUN
cana-2553	130	16	)	)	PUNCT
cana-2553	130	17	algorithms	algorithm	NOUN
cana-2553	130	18	fig	fig	NOUN
cana-2553	130	19	4.4	4.4	NUM
cana-2553	130	20	represents	represent	VERB
cana-2553	130	21	the	the	DET
cana-2553	130	22	tokenization	tokenization	NOUN
cana-2553	130	23	and	and	CCONJ
cana-2553	130	24	ner	ner	NOUN
cana-2553	130	25	used	use	VERB
cana-2553	130	26	in	in	ADP
cana-2553	130	27	the	the	DET
cana-2553	130	28	proposed	propose	VERB
cana-2553	130	29	rag	rag	NOUN
cana-2553	130	30	systems	system	NOUN
cana-2553	130	31	.	.	PUNCT
cana-2553	131	1	i.	i.	PROPN
cana-2553	131	2	tokenization	tokenization	PROPN
cana-2553	131	3	:	:	PUNCT
cana-2553	131	4	function	function	VERB
cana-2553	131	5	tokenize(text	tokenize(text	PROPN
cana-2553	131	6	):	):	PUNCT
cana-2553	131	7	communications	communication	NOUN
cana-2553	131	8	on	on	ADP
cana-2553	131	9	applied	apply	VERB
cana-2553	131	10	nonlinear	nonlinear	ADJ
cana-2553	131	11	analysis	analysis	NOUN
cana-2553	131	12	issn	issn	NOUN
cana-2553	131	13	:	:	PUNCT
cana-2553	131	14	1074	1074	NUM
cana-2553	131	15	-	-	PUNCT
cana-2553	131	16	133x	133x	NUM
cana-2553	131	17	vol	vol	NOUN
cana-2553	131	18	32	32	NUM
cana-2553	132	1	no	no	NOUN
cana-2553	132	2	.	.	PUNCT
cana-2553	133	1	3s	3s	NUM
cana-2553	133	2	(	(	PUNCT
cana-2553	133	3	2025	2025	NUM
cana-2553	133	4	)	)	PUNCT
cana-2553	133	5	101	101	NUM
cana-2553	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	133	7	return	return	VERB
cana-2553	133	8	text.split	text.split	NUM
cana-2553	133	9	(	(	PUNCT
cana-2553	133	10	)	)	PUNCT
cana-2553	133	11	//	//	NUM
cana-2553	133	12	split	split	NOUN
cana-2553	133	13	text	text	NOUN
cana-2553	133	14	by	by	ADP
cana-2553	133	15	whitespace	whitespace	PROPN
cana-2553	133	16	ii	ii	PROPN
cana-2553	133	17	.	.	PUNCT
cana-2553	133	18	named	name	VERB
cana-2553	133	19	entity	entity	NOUN
cana-2553	133	20	recognition	recognition	NOUN
cana-2553	133	21	(	(	PUNCT
cana-2553	133	22	ner	ner	NOUN
cana-2553	133	23	):	):	PUNCT
cana-2553	133	24	function	function	NOUN
cana-2553	133	25	named_entity_recognition(text	named_entity_recognition(text	NOUN
cana-2553	133	26	):	):	PUNCT
cana-2553	133	27	entities	entity	NOUN
cana-2553	133	28	=	=	PUNCT
cana-2553	134	1	[	[	X
cana-2553	134	2	]	]	X
cana-2553	134	3	for	for	ADP
cana-2553	134	4	word	word	NOUN
cana-2553	134	5	in	in	ADP
cana-2553	134	6	tokenize(text	tokenize(text	PROPN
cana-2553	134	7	):	):	PUNCT
cana-2553	134	8	if	if	SCONJ
cana-2553	134	9	is_entity(word	is_entity(word	PROPN
cana-2553	134	10	):	):	PUNCT
cana-2553	134	11	entities.append(word	entities.append(word	NOUN
cana-2553	134	12	)	)	PUNCT
cana-2553	134	13	return	return	VERB
cana-2553	134	14	entities	entity	NOUN
cana-2553	134	15	iii	iii	PROPN
cana-2553	134	16	.	.	PROPN
cana-2553	134	17	sentiment	sentiment	NOUN
cana-2553	134	18	analysis	analysis	NOUN
cana-2553	134	19	:	:	PUNCT
cana-2553	134	20	function	function	NOUN
cana-2553	134	21	sentiment_analysis(text	sentiment_analysis(text	NOUN
cana-2553	134	22	):	):	PUNCT
cana-2553	134	23	score	score	NOUN
cana-2553	134	24	=	=	SYM
cana-2553	134	25	0	0	NUM
cana-2553	134	26	for	for	ADP
cana-2553	134	27	word	word	NOUN
cana-2553	134	28	in	in	ADP
cana-2553	134	29	tokenize(text	tokenize(text	PROPN
cana-2553	134	30	):	):	PUNCT
cana-2553	134	31	score	score	NOUN
cana-2553	134	32	+	+	X
cana-2553	134	33	=	=	SYM
cana-2553	134	34	sentiment_score(word	sentiment_score(word	NUM
cana-2553	134	35	)	)	PUNCT
cana-2553	134	36	if	if	SCONJ
cana-2553	134	37	score	score	NOUN
cana-2553	134	38	>	>	X
cana-2553	134	39	0	0	NUM
cana-2553	134	40	:	:	PUNCT
cana-2553	134	41	return	return	VERB
cana-2553	134	42	"	"	PUNCT
cana-2553	134	43	positive	positive	ADJ
cana-2553	134	44	"	"	PUNCT
cana-2553	134	45	else	else	ADV
cana-2553	134	46	if	if	SCONJ
cana-2553	134	47	score	score	VERB
cana-2553	134	48	<	<	X
cana-2553	134	49	0	0	NUM
cana-2553	134	50	:	:	PUNCT
cana-2553	134	51	return	return	NOUN
cana-2553	134	52	"	"	PUNCT
cana-2553	134	53	negative	negative	ADJ
cana-2553	134	54	"	"	PUNCT
cana-2553	134	55	else	else	ADV
cana-2553	134	56	:	:	PUNCT
cana-2553	134	57	return	return	VERB
cana-2553	134	58	"	"	PUNCT
cana-2553	134	59	neutral	neutral	ADJ
cana-2553	134	60	"	"	PUNCT
cana-2553	134	61	fig	fig	NOUN
cana-2553	134	62	4.4	4.4	NUM
cana-2553	134	63	tokenization	tokenization	NOUN
cana-2553	134	64	and	and	CCONJ
cana-2553	134	65	ner	ner	PROPN
cana-2553	134	66	vii	vii	PROPN
cana-2553	134	67	.	.	PROPN
cana-2553	134	68	results	result	NOUN
cana-2553	134	69	and	and	CCONJ
cana-2553	134	70	discussion	discussion	NOUN
cana-2553	134	71	when	when	SCONJ
cana-2553	134	72	querying	query	VERB
cana-2553	134	73	railway	railway	NOUN
cana-2553	134	74	stations	station	NOUN
cana-2553	134	75	within	within	ADP
cana-2553	134	76	the	the	DET
cana-2553	134	77	konkan	konkan	PROPN
cana-2553	134	78	railway	railway	PROPN
cana-2553	134	79	(	(	PUNCT
cana-2553	134	80	kr	kr	PROPN
cana-2553	134	81	)	)	PUNCT
cana-2553	134	82	zone	zone	NOUN
cana-2553	134	83	,	,	PUNCT
cana-2553	134	84	the	the	DET
cana-2553	134	85	system	system	NOUN
cana-2553	134	86	successfully	successfully	ADV
cana-2553	134	87	identified	identify	VERB
cana-2553	134	88	several	several	ADJ
cana-2553	134	89	key	key	ADJ
cana-2553	134	90	stations	station	NOUN
cana-2553	134	91	,	,	PUNCT
cana-2553	134	92	including	include	VERB
cana-2553	134	93	kumta	kumta	PROPN
cana-2553	134	94	(	(	PUNCT
cana-2553	134	95	kt	kt	PROPN
cana-2553	134	96	)	)	PUNCT
cana-2553	134	97	,	,	PUNCT
cana-2553	134	98	veer	veer	NOUN
cana-2553	134	99	(	(	PUNCT
cana-2553	134	100	veer	veer	NOUN
cana-2553	134	101	)	)	PUNCT
cana-2553	134	102	,	,	PUNCT
cana-2553	134	103	and	and	CCONJ
cana-2553	134	104	kudal	kudal	ADJ
cana-2553	134	105	(	(	PUNCT
cana-2553	134	106	kudl	kudl	PROPN
cana-2553	134	107	)	)	PUNCT
cana-2553	134	108	.	.	PUNCT
cana-2553	135	1	other	other	ADJ
cana-2553	135	2	notable	notable	ADJ
cana-2553	135	3	stations	station	NOUN
cana-2553	135	4	within	within	ADP
cana-2553	135	5	the	the	DET
cana-2553	135	6	same	same	ADJ
cana-2553	135	7	zone	zone	NOUN
cana-2553	135	8	include	include	VERB
cana-2553	135	9	khed	khe	VERB
cana-2553	135	10	(	(	PUNCT
cana-2553	135	11	khed	khed	ADJ
cana-2553	135	12	)	)	PUNCT
cana-2553	135	13	,	,	PUNCT
cana-2553	135	14	kalambani	kalambani	PROPN
cana-2553	135	15	(	(	PUNCT
cana-2553	135	16	klmb	klmb	NOUN
cana-2553	135	17	)	)	PUNCT
cana-2553	135	18	,	,	PUNCT
cana-2553	135	19	and	and	CCONJ
cana-2553	135	20	indapur	indapur	NOUN
cana-2553	135	21	(	(	PUNCT
cana-2553	135	22	inp	inp	PROPN
cana-2553	135	23	)	)	PUNCT
cana-2553	135	24	.	.	PUNCT
cana-2553	136	1	additionally	additionally	ADV
cana-2553	136	2	,	,	PUNCT
cana-2553	136	3	stations	station	NOUN
cana-2553	136	4	such	such	ADJ
cana-2553	136	5	as	as	ADP
cana-2553	136	6	kamthe	kamthe	NOUN
cana-2553	136	7	(	(	PUNCT
cana-2553	136	8	kmah	kmah	PROPN
cana-2553	136	9	)	)	PUNCT
cana-2553	136	10	,	,	PUNCT
cana-2553	136	11	kharepatan	kharepatan	NOUN
cana-2553	136	12	(	(	PUNCT
cana-2553	136	13	krpm	krpm	ADJ
cana-2553	136	14	)	)	PUNCT
cana-2553	136	15	,	,	PUNCT
cana-2553	136	16	and	and	CCONJ
cana-2553	136	17	kankavli	kankavli	PROPN
cana-2553	136	18	(	(	PUNCT
cana-2553	136	19	kkw	kkw	NOUN
cana-2553	136	20	)	)	PUNCT
cana-2553	136	21	were	be	AUX
cana-2553	136	22	also	also	ADV
cana-2553	136	23	recognized	recognize	VERB
cana-2553	136	24	as	as	ADP
cana-2553	136	25	part	part	NOUN
cana-2553	136	26	of	of	ADP
cana-2553	136	27	the	the	DET
cana-2553	136	28	kr	kr	PROPN
cana-2553	136	29	zone	zone	NOUN
cana-2553	136	30	.	.	PUNCT
cana-2553	137	1	in	in	ADP
cana-2553	137	2	a	a	DET
cana-2553	137	3	separate	separate	ADJ
cana-2553	137	4	inquiry	inquiry	NOUN
cana-2553	137	5	regarding	regard	VERB
cana-2553	137	6	the	the	DET
cana-2553	137	7	station	station	NOUN
cana-2553	137	8	'	'	PUNCT
cana-2553	137	9	roha	roha	NOUN
cana-2553	137	10	'	'	PUNCT
cana-2553	137	11	(	(	PUNCT
cana-2553	137	12	roha	roha	PROPN
cana-2553	137	13	)	)	PUNCT
cana-2553	137	14	,	,	PUNCT
cana-2553	137	15	the	the	DET
cana-2553	137	16	system	system	NOUN
cana-2553	137	17	provided	provide	VERB
cana-2553	137	18	clear	clear	ADJ
cana-2553	137	19	and	and	CCONJ
cana-2553	137	20	concise	concise	ADJ
cana-2553	137	21	information	information	NOUN
cana-2553	137	22	indicating	indicate	VERB
cana-2553	137	23	that	that	SCONJ
cana-2553	137	24	it	it	PRON
cana-2553	137	25	is	be	AUX
cana-2553	137	26	part	part	NOUN
cana-2553	137	27	of	of	ADP
cana-2553	137	28	the	the	DET
cana-2553	137	29	central	central	ADJ
cana-2553	137	30	railway	railway	NOUN
cana-2553	137	31	(	(	PUNCT
cana-2553	137	32	cr	cr	NOUN
cana-2553	137	33	)	)	PUNCT
cana-2553	137	34	zone	zone	NOUN
cana-2553	137	35	.	.	PUNCT
cana-2553	138	1	these	these	DET
cana-2553	138	2	results	result	NOUN
cana-2553	138	3	highlight	highlight	VERB
cana-2553	138	4	the	the	DET
cana-2553	138	5	effectiveness	effectiveness	NOUN
cana-2553	138	6	of	of	ADP
cana-2553	138	7	the	the	DET
cana-2553	138	8	system	system	NOUN
cana-2553	138	9	in	in	ADP
cana-2553	138	10	retrieving	retrieve	VERB
cana-2553	138	11	accurate	accurate	ADJ
cana-2553	138	12	and	and	CCONJ
cana-2553	138	13	relevant	relevant	ADJ
cana-2553	138	14	data	datum	NOUN
cana-2553	138	15	based	base	VERB
cana-2553	138	16	on	on	ADP
cana-2553	138	17	user	user	NOUN
cana-2553	138	18	queries	query	NOUN
cana-2553	138	19	,	,	PUNCT
cana-2553	138	20	showcasing	showcase	VERB
cana-2553	138	21	communications	communication	NOUN
cana-2553	138	22	on	on	ADP
cana-2553	138	23	applied	apply	VERB
cana-2553	138	24	nonlinear	nonlinear	ADJ
cana-2553	138	25	analysis	analysis	NOUN
cana-2553	138	26	issn	issn	NOUN
cana-2553	138	27	:	:	PUNCT
cana-2553	138	28	1074	1074	NUM
cana-2553	138	29	-	-	PUNCT
cana-2553	138	30	133x	133x	NUM
cana-2553	138	31	vol	vol	NOUN
cana-2553	138	32	32	32	NUM
cana-2553	139	1	no	no	NOUN
cana-2553	139	2	.	.	PUNCT
cana-2553	140	1	3s	3s	NUM
cana-2553	140	2	(	(	PUNCT
cana-2553	140	3	2025	2025	NUM
cana-2553	140	4	)	)	PUNCT
cana-2553	140	5	102	102	NUM
cana-2553	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2553	140	7	its	its	PRON
cana-2553	140	8	potential	potential	NOUN
cana-2553	140	9	to	to	PART
cana-2553	140	10	assist	assist	VERB
cana-2553	140	11	users	user	NOUN
cana-2553	140	12	in	in	ADP
cana-2553	140	13	navigating	navigate	VERB
cana-2553	140	14	railway	railway	NOUN
cana-2553	140	15	services	service	NOUN
cana-2553	140	16	efficiently	efficiently	ADV
cana-2553	140	17	.	.	PUNCT
cana-2553	141	1	the	the	DET
cana-2553	141	2	integration	integration	NOUN
cana-2553	141	3	of	of	ADP
cana-2553	141	4	such	such	ADJ
cana-2553	141	5	features	feature	NOUN
cana-2553	141	6	not	not	PART
cana-2553	141	7	only	only	ADV
cana-2553	141	8	enhances	enhance	VERB
cana-2553	141	9	user	user	NOUN
cana-2553	141	10	experience	experience	NOUN
cana-2553	141	11	but	but	CCONJ
cana-2553	141	12	also	also	ADV
cana-2553	141	13	promotes	promote	VERB
cana-2553	141	14	accessibility	accessibility	NOUN
cana-2553	141	15	to	to	ADP
cana-2553	141	16	vital	vital	ADJ
cana-2553	141	17	transportation	transportation	NOUN
cana-2553	141	18	information	information	NOUN
cana-2553	141	19	across	across	ADP
cana-2553	141	20	different	different	ADJ
cana-2553	141	21	railway	railway	NOUN
cana-2553	141	22	zones	zone	NOUN
cana-2553	141	23	.	.	PUNCT
cana-2553	142	1	figures	figure	VERB
cana-2553	142	2	5.1	5.1	NUM
cana-2553	142	3	to	to	PART
cana-2553	142	4	5.5	5.5	NUM
cana-2553	142	5	specify	specify	VERB
cana-2553	142	6	the	the	DET
cana-2553	142	7	detailed	detailed	ADJ
cana-2553	142	8	results	result	NOUN
cana-2553	142	9	obtained	obtain	VERB
cana-2553	142	10	.	.	PUNCT
cana-2553	143	1	figure	figure	VERB
cana-2553	143	2	5.1	5.1	NUM
cana-2553	143	3	figure	figure	NOUN
cana-2553	143	4	5.2	5.2	NUM
cana-2553	143	5	figure	figure	NOUN
cana-2553	143	6	5.3	5.3	NUM
cana-2553	143	7	figure	figure	NOUN
cana-2553	143	8	5.4	5.4	NUM
cana-2553	143	9	figure	figure	NOUN
cana-2553	143	10	5.5	5.5	NUM
cana-2553	143	11	viii	viii	NOUN
cana-2553	143	12	.	.	PUNCT
cana-2553	144	1	conclusion	conclusion	NOUN
cana-2553	144	2	the	the	DET
cana-2553	144	3	development	development	NOUN
cana-2553	144	4	and	and	CCONJ
cana-2553	144	5	implementation	implementation	NOUN
cana-2553	144	6	of	of	ADP
cana-2553	144	7	a	a	DET
cana-2553	144	8	retrieval	retrieval	NOUN
cana-2553	144	9	augmented	augment	VERB
cana-2553	144	10	generation	generation	NOUN
cana-2553	144	11	(	(	PUNCT
cana-2553	144	12	rag	rag	NOUN
cana-2553	144	13	)	)	PUNCT
cana-2553	144	14	system	system	NOUN
cana-2553	144	15	for	for	ADP
cana-2553	144	16	the	the	DET
cana-2553	144	17	railway	railway	NOUN
cana-2553	144	18	sector	sector	NOUN
cana-2553	144	19	represents	represent	VERB
cana-2553	144	20	a	a	DET
cana-2553	144	21	significant	significant	ADJ
cana-2553	144	22	advancement	advancement	NOUN
cana-2553	144	23	in	in	ADP
cana-2553	144	24	how	how	SCONJ
cana-2553	144	25	data	datum	NOUN
cana-2553	144	26	is	be	AUX
cana-2553	144	27	managed	manage	VERB
cana-2553	144	28	,	,	PUNCT
cana-2553	144	29	analyzed	analyze	VERB
cana-2553	144	30	,	,	PUNCT
cana-2553	144	31	and	and	CCONJ
cana-2553	144	32	reported	report	VERB
cana-2553	144	33	.	.	PUNCT
cana-2553	145	1	by	by	ADP
cana-2553	145	2	combining	combine	VERB
cana-2553	145	3	sophisticated	sophisticated	ADJ
cana-2553	145	4	retrieval	retrieval	NOUN
cana-2553	145	5	techniques	technique	NOUN
cana-2553	145	6	with	with	ADP
cana-2553	145	7	powerful	powerful	ADJ
cana-2553	145	8	generative	generative	ADJ
cana-2553	145	9	language	language	NOUN
cana-2553	145	10	models	model	NOUN
cana-2553	145	11	,	,	PUNCT
cana-2553	145	12	this	this	DET
cana-2553	145	13	paper	paper	NOUN
cana-2553	145	14	addresses	address	NOUN
cana-2553	145	15	critical	critical	ADJ
cana-2553	145	16	challenges	challenge	NOUN
cana-2553	145	17	faced	face	VERB
cana-2553	145	18	by	by	ADP
cana-2553	145	19	the	the	DET
cana-2553	145	20	railway	railway	NOUN
cana-2553	145	21	industry	industry	NOUN
cana-2553	145	22	in	in	ADP
cana-2553	145	23	handling	handle	VERB
cana-2553	145	24	large	large	ADJ
cana-2553	145	25	volumes	volume	NOUN
cana-2553	145	26	of	of	ADP
cana-2553	145	27	diverse	diverse	ADJ
cana-2553	145	28	data.by	data.by	PROPN
cana-2553	145	29	integrating	integrate	VERB
cana-2553	145	30	advanced	advanced	ADJ
cana-2553	145	31	retrieval	retrieval	NOUN
cana-2553	145	32	and	and	CCONJ
cana-2553	145	33	generative	generative	ADJ
cana-2553	145	34	capabilities	capability	NOUN
cana-2553	145	35	,	,	PUNCT
cana-2553	145	36	the	the	DET
cana-2553	145	37	rag	rag	NOUN
cana-2553	145	38	system	system	NOUN
cana-2553	145	39	not	not	PART
cana-2553	145	40	only	only	ADV
cana-2553	145	41	enhances	enhance	VERB
cana-2553	145	42	the	the	DET
cana-2553	145	43	efficiency	efficiency	NOUN
cana-2553	145	44	of	of	ADP
cana-2553	145	45	data	datum	NOUN
cana-2553	145	46	processing	processing	NOUN
cana-2553	145	47	but	but	CCONJ
cana-2553	145	48	also	also	ADV
cana-2553	145	49	supports	support	VERB
cana-2553	145	50	a	a	DET
cana-2553	145	51	more	more	ADV
cana-2553	145	52	proactive	proactive	ADJ
cana-2553	145	53	and	and	CCONJ
cana-2553	145	54	responsive	responsive	ADJ
cana-2553	145	55	approach	approach	NOUN
cana-2553	145	56	to	to	ADP
cana-2553	145	57	managing	manage	VERB
cana-2553	145	58	railway	railway	NOUN
cana-2553	145	59	operations	operation	NOUN
cana-2553	145	60	.	.	PUNCT
cana-2553	146	1	this	this	DET
cana-2553	146	2	innovative	innovative	ADJ
cana-2553	146	3	solution	solution	NOUN
cana-2553	146	4	is	be	AUX
cana-2553	146	5	poised	poise	VERB
cana-2553	146	6	to	to	PART
cana-2553	146	7	transform	transform	VERB
cana-2553	146	8	how	how	SCONJ
cana-2553	146	9	the	the	DET
cana-2553	146	10	railway	railway	NOUN
cana-2553	146	11	sector	sector	NOUN
cana-2553	146	12	leverages	leverage	VERB
cana-2553	146	13	data	datum	NOUN
cana-2553	146	14	,	,	PUNCT
cana-2553	146	15	ultimately	ultimately	ADV
cana-2553	146	16	contributing	contribute	VERB
cana-2553	146	17	to	to	ADP
cana-2553	146	18	more	more	ADV
cana-2553	146	19	effective	effective	ADJ
cana-2553	146	20	and	and	CCONJ
cana-2553	146	21	efficient	efficient	ADJ
cana-2553	146	22	railway	railway	NOUN
cana-2553	146	23	operations	operation	NOUN
cana-2553	146	24	and	and	CCONJ
cana-2553	146	25	improved	improve	VERB
cana-2553	146	26	service	service	NOUN
cana-2553	146	27	quality	quality	NOUN
cana-2553	146	28	.	.	PUNCT
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cana-2553	153	23	when	when	SCONJ
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cana-2553	153	25	a	a	DET
cana-2553	153	26	retrieval	retrieval	NOUN
cana-2553	153	27	augmented	augment	VERB
cana-2553	153	28	generation	generation	NOUN
cana-2553	153	29	system	system	NOUN
cana-2553	153	30	”	"	PUNCT
cana-2553	153	31	,	,	PUNCT
cana-2553	153	32	2024	2024	NUM
cana-2553	153	33	ieee	ieee	NOUN
cana-2553	153	34	/	/	SYM
cana-2553	153	35	acm	acm	PROPN
cana-2553	153	36	3rd	3rd	PROPN
cana-2553	153	37	international	international	ADJ
cana-2553	153	38	conference	conference	NOUN
cana-2553	153	39	on	on	ADP
cana-2553	153	40	ai	ai	PRON
cana-2553	153	41	engineering	engineering	NOUN
cana-2553	153	42	–	–	PUNCT
cana-2553	153	43	software	software	NOUN
cana-2553	153	44	engineering	engineering	NOUN
cana-2553	153	45	for	for	ADP
cana-2553	153	46	ai	ai	PROPN
cana-2553	153	47	(	(	PUNCT
cana-2553	153	48	cain	cain	PROPN
cana-2553	153	49	)	)	PUNCT
cana-2553	153	50	,	,	PUNCT
cana-2553	153	51	18	18	NUM
cana-2553	153	52	june	june	NOUN
cana-2553	153	53	,	,	PUNCT
cana-2553	153	54	2024	2024	NUM
cana-2553	153	55	[	[	X
cana-2553	153	56	8	8	NUM
cana-2553	153	57	]	]	X
cana-2553	153	58	shamane	shamane	PROPN
cana-2553	153	59	siriwardhana	siriwardhana	PROPN
cana-2553	153	60	,	,	PUNCT
cana-2553	153	61	rivindu	rivindu	NOUN
cana-2553	153	62	weerasekera	weerasekera	NOUN
cana-2553	153	63	,	,	PUNCT
cana-2553	153	64	elliott	elliott	PROPN
cana-2553	153	65	wen	wen	PROPN
cana-2553	153	66	,	,	PUNCT
cana-2553	153	67	suranga	suranga	ADJ
cana-2553	153	68	nanayakkara	nanayakkara	NOUN
cana-2553	153	69	,	,	PUNCT
cana-2553	153	70	“	"	PUNCT
cana-2553	153	71	fine	fine	ADJ
cana-2553	153	72	-	-	PUNCT
cana-2553	153	73	tune	tune	NOUN
cana-2553	153	74	the	the	DET
cana-2553	153	75	entire	entire	ADJ
cana-2553	153	76	rag	rag	NOUN
cana-2553	153	77	architecture	architecture	NOUN
cana-2553	153	78	(	(	PUNCT
cana-2553	153	79	including	include	VERB
cana-2553	153	80	dpr	dpr	PROPN
cana-2553	153	81	retriever	retriever	X
cana-2553	153	82	)	)	PUNCT
cana-2553	153	83	for	for	ADP
cana-2553	153	84	question	question	NOUN
cana-2553	153	85	-	-	PUNCT
cana-2553	153	86	answering	answering	NOUN
cana-2553	153	87	”	"	PUNCT
cana-2553	153	88	,	,	PUNCT
cana-2553	153	89	arxiv:2106.11517v1	arxiv:2106.11517v1	PROPN
cana-2553	153	90	,	,	PUNCT
cana-2553	153	91	23	23	NUM
cana-2553	153	92	june	june	NOUN
cana-2553	153	93	,	,	PUNCT
cana-2553	153	94	2021	2021	NUM
cana-2553	153	95	[	[	X
cana-2553	153	96	9	9	NUM
cana-2553	153	97	]	]	X
cana-2553	153	98	jakub	jakub	PROPN
cana-2553	153	99	lala	lala	PROPN
cana-2553	153	100	odhran	odhran	PROPN
cana-2553	153	101	o’donoghue	o’donoghue	PROPN
cana-2553	153	102	,	,	PUNCT
cana-2553	153	103	aleksandar	aleksandar	PROPN
cana-2553	153	104	shtedritski	shtedritski	PROPN
cana-2553	153	105	,	,	PUNCT
cana-2553	153	106	sam	sam	PROPN
cana-2553	153	107	cox	cox	PROPN
cana-2553	153	108	,	,	PUNCT
cana-2553	153	109	samuel	samuel	PROPN
cana-2553	153	110	g	g	PROPN
cana-2553	153	111	rodriques	rodrique	NOUN
cana-2553	153	112	,	,	PUNCT
cana-2553	153	113	andrew	andrew	PROPN
cana-2553	153	114	d	d	PROPN
cana-2553	153	115	white	white	ADJ
cana-2553	153	116	,	,	PUNCT
cana-2553	153	117	“	"	PUNCT
cana-2553	153	118	paperqa	paperqa	NOUN
cana-2553	153	119	:	:	PUNCT
cana-2553	153	120	retrieval	retrieval	NOUN
cana-2553	153	121	-	-	PUNCT
cana-2553	153	122	augmented	augment	VERB
cana-2553	153	123	generative	generative	ADJ
cana-2553	153	124	agent	agent	NOUN
cana-2553	153	125	for	for	ADP
cana-2553	153	126	scientific	scientific	ADJ
cana-2553	153	127	research	research	NOUN
cana-2553	153	128	”	"	PUNCT
cana-2553	153	129	,	,	PUNCT
cana-2553	153	130	arxiv:2312.07559v2	arxiv:2312.07559v2	NOUN
cana-2553	153	131	,	,	PUNCT
cana-2553	153	132	14	14	NUM
cana-2553	153	133	december	december	NOUN
cana-2553	153	134	,	,	PUNCT
cana-2553	153	135	2023	2023	NUM
cana-2553	153	136	[	[	X
cana-2553	153	137	10	10	NUM
cana-2553	153	138	]	]	SYM
cana-2553	153	139	yunfan	yunfan	NOUN
cana-2553	153	140	gaoa	gaoa	PROPN
cana-2553	153	141	,	,	PUNCT
cana-2553	153	142	yun	yun	PROPN
cana-2553	153	143	xiongb	xiongb	PROPN
cana-2553	153	144	,	,	PUNCT
cana-2553	153	145	xinyu	xinyu	PROPN
cana-2553	153	146	gaob	gaob	PROPN
cana-2553	153	147	,	,	PUNCT
cana-2553	153	148	kangxiang	kangxiang	PROPN
cana-2553	153	149	jiab	jiab	PROPN
cana-2553	153	150	,	,	PUNCT
cana-2553	153	151	jinliu	jinliu	PROPN
cana-2553	153	152	panb	panb	PROPN
cana-2553	153	153	,	,	PUNCT
cana-2553	153	154	yuxi	yuxi	PROPN
cana-2553	153	155	bic	bic	PROPN
cana-2553	153	156	,	,	PUNCT
cana-2553	153	157	yi	yi	PROPN
cana-2553	153	158	daia	daia	PROPN
cana-2553	153	159	,	,	PUNCT
cana-2553	153	160	jiawei	jiawei	NOUN
cana-2553	153	161	suna	suna	PROPN
cana-2553	153	162	,	,	PUNCT
cana-2553	153	163	meng	meng	PROPN
cana-2553	153	164	wangc	wangc	PROPN
cana-2553	153	165	,	,	PUNCT
cana-2553	153	166	and	and	CCONJ
cana-2553	153	167	haofen	haofen	PROPN
cana-2553	153	168	wang	wang	PROPN
cana-2553	153	169	,	,	PUNCT
cana-2553	153	170	“	"	PUNCT
cana-2553	153	171	retrieval	retrieval	NOUN
cana-2553	153	172	-	-	PUNCT
cana-2553	153	173	augmented	augment	VERB
cana-2553	153	174	generation	generation	NOUN
cana-2553	153	175	for	for	ADP
cana-2553	153	176	large	large	ADJ
cana-2553	153	177	language	language	NOUN
cana-2553	153	178	models	model	NOUN
cana-2553	153	179	:	:	PUNCT
cana-2553	153	180	a	a	DET
cana-2553	153	181	survey	survey	NOUN
cana-2553	153	182	”	"	PUNCT
cana-2553	153	183	,	,	PUNCT
cana-2553	153	184	arxiv:2312.10997v5	arxiv:2312.10997v5	PROPN
cana-2553	154	1	[	[	X
cana-2553	154	2	cs.cl	cs.cl	PROPN
cana-2553	154	3	]	]	X
cana-2553	154	4	,	,	PUNCT
cana-2553	154	5	27	27	NUM
cana-2553	154	6	march	march	NOUN
cana-2553	154	7	,	,	PUNCT
cana-2553	154	8	2024	2024	NUM
cana-2553	154	9	[	[	X
cana-2553	154	10	11	11	NUM
cana-2553	154	11	]	]	X
cana-2553	154	12	jiajie	jiajie	PROPN
cana-2553	154	13	jin	jin	PROPN
cana-2553	154	14	,	,	PUNCT
cana-2553	154	15	yutao	yutao	PROPN
cana-2553	154	16	zhu	zhu	PROPN
cana-2553	154	17	,	,	PUNCT
cana-2553	154	18	xinyu	xinyu	PROPN
cana-2553	154	19	yang	yang	PROPN
cana-2553	154	20	,	,	PUNCT
cana-2553	154	21	chenghao	chenghao	PROPN
cana-2553	154	22	zhang	zhang	PROPN
cana-2553	154	23	,	,	PUNCT
cana-2553	154	24	zhicheng	zhicheng	PROPN
cana-2553	154	25	dou,”flashrag	dou,”flashrag	PROPN
cana-2553	154	26	:	:	PUNCT
cana-2553	154	27	modular	modular	ADJ
cana-2553	154	28	toolkit	toolkit	NOUN
cana-2553	154	29	for	for	ADP
cana-2553	154	30	efficient	efficient	ADJ
cana-2553	154	31	retrieval	retrieval	NOUN
cana-2553	154	32	-	-	PUNCT
cana-2553	154	33	augmented	augment	VERB
cana-2553	154	34	generation	generation	NOUN
cana-2553	154	35	research	research	NOUN
cana-2553	154	36	”	"	PUNCT
cana-2553	154	37	,	,	PUNCT
cana-2553	154	38	arxiv:2405.13576v1	arxiv:2405.13576v1	PROPN
cana-2553	155	1	[	[	X
cana-2553	155	2	cs.cl	cs.cl	PROPN
cana-2553	155	3	]	]	X
cana-2553	155	4	,	,	PUNCT
cana-2553	155	5	22	22	NUM
cana-2553	155	6	may	may	AUX
cana-2553	155	7	,	,	PUNCT
cana-2553	155	8	2024	2024	NUM
cana-2553	155	9	[	[	X
cana-2553	155	10	12	12	NUM
cana-2553	155	11	]	]	X
cana-2553	155	12	chidaksh	chidaksh	NOUN
cana-2553	155	13	ravuru	ravuru	NOUN
cana-2553	155	14	,	,	PUNCT
cana-2553	155	15	sagar	sagar	PROPN
cana-2553	155	16	srinivas	srinivas	PROPN
cana-2553	155	17	sakhinana	sakhinana	PROPN
cana-2553	155	18	,	,	PUNCT
cana-2553	155	19	venkataramana	venkataramana	PROPN
cana-2553	155	20	runkana	runkana	PROPN
cana-2553	155	21	,	,	PUNCT
cana-2553	155	22	“	"	PUNCT
cana-2553	155	23	agentic	agentic	ADJ
cana-2553	155	24	retrieval	retrieval	NOUN
cana-2553	155	25	-	-	PUNCT
cana-2553	155	26	augmented	augment	VERB
cana-2553	155	27	generation	generation	NOUN
cana-2553	155	28	for	for	ADP
cana-2553	155	29	time	time	NOUN
cana-2553	155	30	series	series	PROPN
cana-2553	155	31	analysis	analysis	NOUN
cana-2553	155	32	”	"	PUNCT
cana-2553	155	33	,	,	PUNCT
cana-2553	155	34	arxiv:2408.144846v1	arxiv:2408.144846v1	ADP
cana-2553	155	35	[	[	X
cana-2553	155	36	cs.cl	cs.cl	PROPN
cana-2553	155	37	]	]	X
cana-2553	155	38	,	,	PUNCT
cana-2553	155	39	18	18	NUM
cana-2553	155	40	aug	aug	PROPN
cana-2553	155	41	,	,	PUNCT
cana-2553	155	42	2024	2024	NUM
cana-2553	155	43	[	[	X
cana-2553	155	44	13	13	NUM
cana-2553	155	45	]	]	X
cana-2553	155	46	hongjin	hongjin	NOUN
cana-2553	155	47	qian	qian	PROPN
cana-2553	155	48	,	,	PUNCT
cana-2553	155	49	peitian	peitian	PROPN
cana-2553	155	50	zhang	zhang	PROPN
cana-2553	155	51	,	,	PUNCT
cana-2553	155	52	zheng	zheng	PROPN
cana-2553	155	53	liu	liu	PROPN
cana-2553	155	54	,	,	PUNCT
cana-2553	155	55	kelong	kelong	PROPN
cana-2553	155	56	mao	mao	PROPN
cana-2553	155	57	,	,	PUNCT
cana-2553	155	58	zhicheng	zhicheng	PROPN
cana-2553	155	59	dou	dou	PROPN
cana-2553	155	60	,	,	PUNCT
cana-2553	155	61	“	"	PUNCT
cana-2553	155	62	memorag	memorag	NOUN
cana-2553	155	63	:	:	PUNCT
cana-2553	155	64	moving	move	VERB
cana-2553	155	65	towards	towards	ADP
cana-2553	155	66	next	next	ADJ
cana-2553	155	67	-	-	PUNCT
cana-2553	155	68	gen	gen	NOUN
cana-2553	155	69	rag	rag	NOUN
cana-2553	155	70	via	via	ADP
cana-2553	155	71	memory	memory	NOUN
cana-2553	155	72	-	-	PUNCT
cana-2553	155	73	inspired	inspire	VERB
cana-2553	155	74	knowledge	knowledge	NOUN
cana-2553	155	75	discovery	discovery	NOUN
cana-2553	155	76	”	"	PUNCT
cana-2553	155	77	,	,	PUNCT
cana-2553	155	78	arxiv:2409.055916v2	arxiv:2409.055916v2	NOUN
cana-2553	156	1	[	[	X
cana-2553	156	2	cs.cl	cs.cl	PROPN
cana-2553	156	3	]	]	X
cana-2553	156	4	,	,	PUNCT
cana-2553	156	5	10	10	NUM
cana-2553	156	6	sept	sept	NOUN
cana-2553	156	7	,	,	PUNCT
cana-2553	156	8	2024	2024	NUM
cana-2553	156	9	[	[	X
cana-2553	156	10	14	14	NUM
cana-2553	156	11	]	]	X
cana-2553	156	12	zahra	zahra	PROPN
cana-2553	156	13	sepasdar	sepasdar	PROPN
cana-2553	156	14	,	,	PUNCT
cana-2553	156	15	sushant	sushant	PROPN
cana-2553	156	16	gautam	gautam	PROPN
cana-2553	156	17	,	,	PUNCT
cana-2553	156	18	cise	cise	PROPN
cana-2553	156	19	midoglu	midoglu	PROPN
cana-2553	156	20	,	,	PUNCT
cana-2553	156	21	michael	michael	PROPN
cana-2553	156	22	a.	a.	PROPN
cana-2553	156	23	riegler	riegler	PROPN
cana-2553	156	24	,	,	PUNCT
cana-2553	156	25	pål	pål	NOUN
cana-2553	156	26	halvorsen	halvorsen	NOUN
cana-2553	156	27	,	,	PUNCT
cana-2553	156	28	“	"	PUNCT
cana-2553	156	29	enhancing	enhance	VERB
cana-2553	156	30	structured	structure	VERB
cana-2553	156	31	-	-	PUNCT
cana-2553	156	32	data	data	NOUN
cana-2553	156	33	retrieval	retrieval	NOUN
cana-2553	156	34	with	with	ADP
cana-2553	156	35	graphrag	graphrag	NOUN
cana-2553	156	36	:	:	PUNCT
cana-2553	156	37	soccer	soccer	NOUN
cana-2553	156	38	data	datum	NOUN
cana-2553	156	39	case	case	NOUN
cana-2553	156	40	study	study	NOUN
cana-2553	156	41	”	"	PUNCT
cana-2553	156	42	,	,	PUNCT
cana-2553	156	43	arxiv:2409.17580v1	arxiv:2409.17580v1	X
cana-2553	157	1	[	[	X
cana-2553	157	2	cs.ir	cs.ir	X
cana-2553	157	3	]	]	X
cana-2553	157	4	,	,	PUNCT
cana-2553	157	5	26	26	NUM
cana-2553	157	6	sept	sept	NOUN
cana-2553	157	7	,	,	PUNCT
cana-2553	157	8	2024	2024	NUM
cana-2553	157	9	[	[	X
cana-2553	157	10	15	15	NUM
cana-2553	157	11	]	]	X
cana-2553	157	12	jordi	jordi	PROPN
cana-2553	157	13	bayarri	bayarri	PROPN
cana-2553	157	14	-	-	PUNCT
cana-2553	157	15	planas	planas	PROPN
cana-2553	157	16	,	,	PUNCT
cana-2553	157	17	ashwin	ashwin	PROPN
cana-2553	157	18	kumar	kumar	PROPN
cana-2553	157	19	gururajan	gururajan	PROPN
cana-2553	157	20	,	,	PUNCT
cana-2553	157	21	dario	dario	PROPN
cana-2553	157	22	garcia	garcia	PROPN
cana-2553	157	23	-	-	PUNCT
cana-2553	157	24	gasulla	gasulla	NOUN
cana-2553	157	25	,	,	PUNCT
cana-2553	157	26	“	"	PUNCT
cana-2553	157	27	boosting	boost	VERB
cana-2553	157	28	healthcare	healthcare	NOUN
cana-2553	157	29	llms	llm	NOUN
cana-2553	157	30	through	through	ADP
cana-2553	157	31	retrieved	retrieve	VERB
cana-2553	157	32	context	context	NOUN
cana-2553	157	33	”	"	PUNCT
cana-2553	157	34	,	,	PUNCT
cana-2553	157	35	arxiv:2409.13127v1	arxiv:2409.13127v1	NOUN
cana-2553	157	36	[	[	X
cana-2553	157	37	cs.ai	cs.ai	NOUN
cana-2553	157	38	]	]	PUNCT
cana-2553	157	39	,	,	PUNCT
cana-2553	157	40	23	23	NUM
cana-2553	157	41	sept	sept	NOUN
cana-2553	157	42	,	,	PUNCT
cana-2553	157	43	2024	2024	NUM
cana-2553	157	44	[	[	X
cana-2553	157	45	16	16	NUM
cana-2553	157	46	]	]	X
cana-2553	157	47	satyapriya	satyapriya	NOUN
cana-2553	157	48	krishna	krishna	PROPN
cana-2553	157	49	,	,	PUNCT
cana-2553	157	50	kalpesh	kalpesh	PROPN
cana-2553	157	51	krishna	krishna	PROPN
cana-2553	157	52	,	,	PUNCT
cana-2553	157	53	anhad	anhad	VERB
cana-2553	157	54	mohananey	mohananey	NOUN
cana-2553	157	55	,	,	PUNCT
cana-2553	157	56	steven	steven	PROPN
cana-2553	157	57	schwarcz	schwarcz	PROPN
cana-2553	157	58	,	,	PUNCT
cana-2553	157	59	adam	adam	PROPN
cana-2553	157	60	stambler	stambler	PROPN
cana-2553	157	61	,	,	PUNCT
cana-2553	157	62	shyam	shyam	PROPN
cana-2553	157	63	upadhyay	upadhyay	PROPN
cana-2553	157	64	,	,	PUNCT
cana-2553	157	65	manaal	manaal	NOUN
cana-2553	157	66	faruqui	faruqui	NOUN
cana-2553	157	67	,	,	PUNCT
cana-2553	157	68	“	"	PUNCT
cana-2553	157	69	fact	fact	NOUN
cana-2553	157	70	,	,	PUNCT
cana-2553	157	71	fetch	fetch	VERB
cana-2553	157	72	,	,	PUNCT
cana-2553	157	73	and	and	CCONJ
cana-2553	157	74	reason	reason	NOUN
cana-2553	157	75	:	:	PUNCT
cana-2553	157	76	a	a	DET
cana-2553	157	77	unified	unified	ADJ
cana-2553	157	78	evaluation	evaluation	NOUN
cana-2553	157	79	of	of	ADP
cana-2553	157	80	retrieval	retrieval	NOUN
cana-2553	157	81	-	-	PUNCT
cana-2553	157	82	augmented	augment	VERB
cana-2553	157	83	generation	generation	NOUN
cana-2553	157	84	”	"	PUNCT
cana-2553	157	85	,	,	PUNCT
cana-2553	157	86	arxiv:2409.12941	arxiv:2409.12941	X
cana-2553	158	1	[	[	X
cana-2553	158	2	cs.cl	cs.cl	PROPN
cana-2553	158	3	]	]	X
cana-2553	158	4	,	,	PUNCT
cana-2553	158	5	19	19	NUM
cana-2553	158	6	sept	sept	NOUN
cana-2553	158	7	,	,	PUNCT
cana-2553	158	8	2024	2024	NUM
cana-2553	158	9	[	[	X
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