{"id":"https://openalex.org/W7225468372","doi":"https://doi.org/10.5281/zenodo.24043606","title":"Is RAG Really Dead? Agentic Grep and Hybrid Retrieval on Company Reports","display_name":"Is RAG Really Dead? Agentic Grep and Hybrid Retrieval on Company Reports","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225468372","doi":"https://doi.org/10.5281/zenodo.24043606"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24043606","doi":"https://doi.org/10.5281/zenodo.24043606","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24043606","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24043606","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161240191","display_name":"Philippe Vergnet","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vergnet, Philippe","raw_affiliation_strings":["VectoGrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VectoGrid","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5161240191"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.70169997215271,"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":0.70169997215271,"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":0.2833999991416931,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9620000123977661},{"id":"https://openalex.org/keywords/agentic-rag","display_name":"agentic RAG","score":0.8920000195503235},{"id":"https://openalex.org/keywords/hybrid-search","display_name":"hybrid retrieval","score":0.9089999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5002999901771545},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.328900009393692},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24043606","doi":"https://doi.org/10.5281/zenodo.24043606","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24043606","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.24043607","doi":"https://doi.org/10.5281/zenodo.24043607","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24043607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24043606","doi":"https://doi.org/10.5281/zenodo.24043606","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24043606","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7225261979","https://openalex.org/W7225159495","https://openalex.org/W7161306684","https://openalex.org/W7160601368","https://openalex.org/W7202187922","https://openalex.org/W7221729256","https://openalex.org/W7224538261","https://openalex.org/W7172266015","https://openalex.org/W7106657789","https://openalex.org/W7154387502"],"abstract_inverted_index":{"Coding":[0],"agents":[1,92],"have":[2],"moved":[3],"from":[4],"embeddings":[5],"to":[6],"plain":[7],"text":[8],"search,":[9],"prompting":[10],"claims":[11],"that":[12],"RAG":[13,42,48,67,77,146,155,166,170,174],"is":[14,167,171,202],"dead.":[15],"We":[16],"compared":[17],"three":[18],"configurations":[19],"on":[20,36,153,193],"150":[21],"FinanceBench":[22,115],"questions":[23,70,116,132,178],"over":[24,81,133,200],"368":[25],"reports,":[26],"using":[27],"one":[28],"open-weight":[29],"model":[30],"(qwen3.6-27b),":[31],"with":[32,60,156],"the":[33,37,118,194],"main":[34],"comparison":[35],"same":[38],"parsed":[39],"markdown.":[40],"Classic":[41,66,95,165,181],"searched":[43],"once":[44],"before":[45],"answering.":[46],"Agentic":[47,50,72,76,141,145,154,173,187],"and":[49,56,75,79,89,120,148,159,183],"Grep":[51,73,142,188],"shared":[52],"an":[53,104],"agent":[54],"loop":[55],"could":[57],"search":[58,126],"repeatedly,":[59],"hybrid":[61],"retrieval":[62],"or":[63],"grep":[64,111,123,201],"respectively.":[65],"answered":[68,175],"117":[69],"correctly,":[71],"127,":[74],"133":[78],"132":[80],"two":[82],"runs":[83],"(exact":[84],"McNemar":[85],"p":[86],"=":[87],"0.21":[88],"0.33).":[90],"Both":[91],"about":[93],"halved":[94],"RAG's":[96],"wrong":[97],"answers.":[98],"The":[99],"step":[100],"limit":[101],"mattered:":[102],"in":[103],"earlier":[105],"run":[106],"at":[107],"a":[108,134],"ten-step":[109],"cap,":[110],"scored":[112,143],"121.":[113],"Most":[114],"name":[117],"company":[119],"period,":[121],"letting":[122],"narrow":[124],"its":[125],"by":[127],"file":[128],"name.":[129],"On":[130],"32":[131],"mixed":[135,195],"library,":[136,196],"many":[137],"needing":[138],"several":[139],"documents,":[140],"78%,":[144],"84%,":[147],"VectoGrid,":[149],"our":[150],"product":[151],"built":[152],"answer":[157],"review":[158],"set":[160],"handling,":[161],"91%.":[162],"Our":[163],"conclusion:":[164],"dead,":[168],"but":[169],"not.":[172],"15-16":[176],"more":[177],"correctly":[179],"than":[180],"RAG,":[182],"stayed":[184],"ahead":[185],"of":[186,191],"throughout,":[189],"most":[190],"all":[192],"though":[197],"neither":[198],"gap":[199],"significant":[203],"alone.":[204]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}