{"id":"https://openalex.org/W7130554610","doi":"https://doi.org/10.1109/fllm67465.2025.11391155","title":"Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation","display_name":"Retrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7130554610","doi":"https://doi.org/10.1109/fllm67465.2025.11391155"},"language":null,"primary_location":{"id":"doi:10.1109/fllm67465.2025.11391155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126413223","display_name":"Thomas Cook","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Thomas Cook","raw_affiliation_strings":["TU Dublin,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120658481","display_name":"Richard Osuagwu","orcid":null},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Richard Osuagwu","raw_affiliation_strings":["Maynooth University,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maynooth University,Ireland","institution_ids":["https://openalex.org/I157286207"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126393688","display_name":"Liman Tsatiashvili","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Liman Tsatiashvili","raw_affiliation_strings":["TU Dublin,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126415320","display_name":"Vrynsia Vrynsia","orcid":null},"institutions":[{"id":"https://openalex.org/I104546213","display_name":"National College of Ireland","ror":"https://ror.org/02qzs9336","country_code":"IE","type":"education","lineage":["https://openalex.org/I104546213"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Vrynsia Vrynsia","raw_affiliation_strings":["National College of Ireland,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National College of Ireland,Ireland","institution_ids":["https://openalex.org/I104546213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126412802","display_name":"Koustav Ghosal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koustav Ghosal","raw_affiliation_strings":["Mastercard,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maraim Masoud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maraim Masoud","raw_affiliation_strings":["Mastercard,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126442021","display_name":"Riccardo Mattivi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126839","display_name":"Mastercard (United States)","ror":"https://ror.org/043cxr310","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126839"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riccardo Mattivi","raw_affiliation_strings":["Mastercard,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mastercard,Ireland","institution_ids":["https://openalex.org/I4210126839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5126413223"],"corresponding_institution_ids":["https://openalex.org/I4210144925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84047503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.6035000085830688,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.6035000085830688,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.12099999934434891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.06669999659061432,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6359000205993652},{"id":"https://openalex.org/keywords/acronym","display_name":"Acronym","score":0.6266000270843506},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5638999938964844},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5552999973297119},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5098000168800354},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.490200012922287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029000163078308},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6359000205993652},{"id":"https://openalex.org/C482391","wikidata":"https://www.wikidata.org/wiki/Q101244","display_name":"Acronym","level":2,"score":0.6266000270843506},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4717999994754791},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4390999972820282},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2533999979496002},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fllm67465.2025.11391155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fllm67465.2025.11391155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 3rd International Conference on Foundation and Large Language Models (FLLM)","raw_type":"proceedings-article"},{"id":"pmh:oai:norma.ncirl.ie:9294","is_oa":false,"landing_page_url":"https://norma.ncirl.ie/9294/","pdf_url":null,"source":{"id":"https://openalex.org/S7407055118","display_name":"NORMA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2903005174","https://openalex.org/W4389519254","https://openalex.org/W4393147129","https://openalex.org/W4394952340","https://openalex.org/W4402114986","https://openalex.org/W4408147114","https://openalex.org/W4408581964"],"related_works":[],"abstract_inverted_index":{"Retrieval-Augmented":[0],"Generation":[1],"(RAG)":[2],"systems":[3],"often":[4],"face":[5],"limitations":[6],"in":[7,100,124],"specialized":[8],"domains":[9],"such":[10],"as":[11],"fintech,":[12],"where":[13],"domain-specific":[14,126],"ontologies,":[15],"dense":[16],"terminology,":[17],"and":[18,23,61,103],"acronyms":[19],"complicate":[20],"effective":[21],"retrieval":[22,101,122],"synthesis.":[24],"This":[25],"paper":[26],"introduces":[27],"an":[28,84],"agentic":[29,94],"RAG":[30,72,95],"architecture":[31],"designed":[32],"to":[33],"address":[34],"these":[35],"challenges":[36],"through":[37],"a":[38,70,75,117],"modular":[39],"pipeline":[40],"of":[41,78],"specialised":[42],"agents.":[43],"The":[44],"proposed":[45],"system":[46,96],"supports":[47],"intelligent":[48],"query":[49],"reformulation,":[50],"iterative":[51],"sub-query":[52],"decomposition":[53],"guided":[54],"by":[55],"keyphrase":[56],"extraction,":[57],"contextual":[58],"acronym":[59],"resolution,":[60],"cross-encoder-based":[62],"context":[63],"re-ranking.":[64],"We":[65],"evaluate":[66],"our":[67],"approach":[68],"against":[69],"standard":[71],"baseline":[73,99],"using":[74],"curated":[76],"dataset":[77],"85":[79],"question\u2013answer\u2013reference":[80],"triples":[81],"derived":[82],"from":[83],"enterprise":[85],"fintech":[86],"knowledge":[87],"base.":[88],"Experimental":[89],"results":[90],"demonstrate":[91],"that":[92,112],"the":[93,98],"outperforms":[97],"precision":[102],"relevance,":[104],"albeit":[105],"with":[106],"increased":[107],"latency.":[108],"These":[109],"findings":[110],"suggest":[111],"structured,":[113],"multi-agent":[114],"methodologies":[115],"offer":[116],"promising":[118],"direction":[119],"for":[120],"enhancing":[121],"robustness":[123],"complex,":[125],"settings.":[127]},"counts_by_year":[],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2026-02-20T00:00:00"}
