{"id":"https://openalex.org/W7215249583","doi":null,"title":"A Multi-Modal Retrieval-Augmented Generation System for Intelligent Document Question Answering","display_name":"A Multi-Modal Retrieval-Augmented Generation System for Intelligent Document Question Answering","publication_year":2026,"publication_date":"2026-06-27","ids":{"openalex":"https://openalex.org/W7215249583"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.ojs.pratibodh.org:article/397","doi":null,"is_oa":true,"landing_page_url":"https://pratibodh.org/index.php/pratibodh/article/view/397","pdf_url":"https://pratibodh.org/index.php/pratibodh/article/download/397/394","source":{"id":"https://openalex.org/S7407066408","display_name":"PRATIBODH","issn_l":"2583-4495","issn":["2583-4495"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-4495","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://pratibodh.org/index.php/pratibodh/article/download/397/394","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159580786","display_name":"Pratibodh - Journal Editor","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Journal Editor, Pratibodh -","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112231522","display_name":"Vinay Gupta","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinay Gupta","raw_affiliation_strings":["Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104278984","display_name":"Yash Joshi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yash Joshi","raw_affiliation_strings":["Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153757015","display_name":"Hemant Mittal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hemant Mittal","raw_affiliation_strings":["Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Student, Department of Computer Science & Engineering Assistant Professor, Department of Computer Science & Engineering Jaipur Engineering College and Research Centre , Jaipur","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66115879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5127000212669373,"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/T10028","display_name":"Topic Modeling","score":0.5127000212669373,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.266400009393692,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.20010000467300415,"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/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9940000176429749},{"id":"https://openalex.org/keywords/document-question-answering","display_name":"document question answering","score":0.7710000276565552},{"id":"https://openalex.org/keywords/multimodal-retrieval","display_name":"multimodal retrieval","score":0.7459999918937683},{"id":"https://openalex.org/keywords/hybrid-search","display_name":"hybrid retrieval","score":0.7519999742507935},{"id":"https://openalex.org/keywords/bm25","display_name":"BM25","score":0.8159999847412109},{"id":"https://openalex.org/keywords/reciprocal-rank-fusion","display_name":"reciprocal rank fusion","score":0.9150000214576721},{"id":"https://openalex.org/keywords/cross-encoder-reranking","display_name":"cross-encoder reranking","score":0.9309999942779541},{"id":"https://openalex.org/keywords/hallucination-mitigation","display_name":"hallucination mitigation","score":0.753000020980835},{"id":"https://openalex.org/keywords/source-attribution","display_name":"source attribution","score":0.8360000252723694},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.7450000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428000211715698},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7487000226974487},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.7450000047683716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6050000190734863},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4699000120162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46540001034736633},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2596000134944916},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.ojs.pratibodh.org:article/397","doi":null,"is_oa":true,"landing_page_url":"https://pratibodh.org/index.php/pratibodh/article/view/397","pdf_url":"https://pratibodh.org/index.php/pratibodh/article/download/397/394","source":{"id":"https://openalex.org/S7407066408","display_name":"PRATIBODH","issn_l":"2583-4495","issn":["2583-4495"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-4495","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.ojs.pratibodh.org:article/397","doi":null,"is_oa":true,"landing_page_url":"https://pratibodh.org/index.php/pratibodh/article/view/397","pdf_url":"https://pratibodh.org/index.php/pratibodh/article/download/397/394","source":{"id":"https://openalex.org/S7407066408","display_name":"PRATIBODH","issn_l":"2583-4495","issn":["2583-4495"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-4495","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7215249583.pdf","grobid_xml":"https://content.openalex.org/works/W7215249583.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2909544278","https://openalex.org/W4327810158","https://openalex.org/W4387156782"],"related_works":["https://openalex.org/W7162699017","https://openalex.org/W7160500182","https://openalex.org/W6986752998","https://openalex.org/W7131858079","https://openalex.org/W7163706527","https://openalex.org/W7202248919","https://openalex.org/W7106853485","https://openalex.org/W4411257631","https://openalex.org/W7128633781","https://openalex.org/W7143860515"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"multi-modal":[4],"Retrieval-Augmented":[5],"Generation":[6],"(RAG)":[7],"system":[8,26],"designed":[9],"to":[10],"overcomelimitations":[11],"of":[12,20],"Large":[13],"Language":[14],"Models":[15],"such":[16],"as":[17],"hallucination,":[18],"lack":[19],"source":[21],"attribution,":[22],"and":[23,30,38,47,53],"static":[24],"knowledge.The":[25],"integrates":[27],"text,":[28],"images,":[29],"tabular":[31],"data":[32],"from":[33],"documents":[34],"like":[35],"PDFs,":[36],"Word,":[37],"Excel":[39],"files.":[40],"It":[41],"useshybrid":[42],"retrieval":[43],"combining":[44],"semantic":[45],"embeddings":[46],"BM25":[48],"with":[49],"Reciprocal":[50],"Rank":[51],"Fusion":[52],"cross-encoderreranking.":[54],"A":[55],"quality-gated":[56],"caching":[57],"mechanism":[58],"ensures":[59],"only":[60],"high-quality":[61],"responses":[62],"are":[63],"stored,":[64],"reducing":[65],"costand":[66],"latency.":[67],"Experimental":[68],"results":[69],"demonstrate":[70],"improved":[71],"accuracy":[72],"(91%),":[73],"reduced":[74],"response":[75],"time,":[76],"andefficient":[77],"knowledge":[78],"retrieval.":[79]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-02T00:00:00"}
