Contextual AI Enterprise RAG
Contextual AI inovaka kuguma-kusvika-kumagumo kudzoreredza-yakawedzera chizvarwa (RAG) masisitimu emabhizinesi, yakavambwa nevaongorori vakagadzira izwi rekuti RAG.
Pfupiso
It matters because it tackles the hardest part of business AI: giving language models accurate, grounded answers from a company's own private documents.
Kudzika Kwakadzika
Contextual AI yakavambwa muna 2023 naDouwe Kiela naAmanpreet Singh, vanyori vanotungamira vekutanga 2020 RAG bepa kubva kuFacebook AI Research. Panzvimbo pekutengesa chatbot, kambani inopa yakachengetedzwa RAG chikuva uko chikamu chega chega - kudhirowa, kudzoreredza, kudzoreredza, uye chizvarwa nhanho - inorongedzerwa pamwe chete seimwe system pane kuvharirwa. Mutauro wavo wakadzika midzi (GLM) wakanyatsodzidziswa kupindura chete kubva mundima dzakadzoserwa uye kutaura kuti haizive kana humbowo husipo, izvo zvinoderedza kufungidzira mundima dzakadzorwa semari, mutemo, uye mainjiniya. Chirevo ndechekuti mamodheru ekunze-pasherufu akasunganidzwa kune dhatabhesi yevector isingaite yakavakirwa-chinangwa, yakabatana yakagadziridzwa pombi pazvigadziko zveruzivo rwebhizinesi.
Technical Insight
Classic RAG inonyudza magwaro mumavheji, inotora machunks ari padyo kumubvunzo, uye inoaisa mukati mekukurumidza. Contextual AI inokwidziridza cheni yese: gwaro parser rinochengetedza matafura uye dhizaini, musanganiswa-we-kudzoreredza nzira, reranking modhi inorongedzera vavhoti nekukoshesesa, uye jenareta rakadzika rakarangwa nekuda kwezvichemo zvisina kutsigirwa. Kubatanidza matanho aya - pachinzvimbo chekubata chimwe nechimwe sechikamu chakasiyana chemutengesi - ndicho chinosimudza chokwadi pane dense, yakarongeka bhizinesi data.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reContextual AI Enterprise RAG
Enterprise RAG iri kusuduruka kubva kumibvunzo yakapusa-kupindura ichienda kuajenti kudzoreredza, uko sisitimu inoronga akawanda-nhanho lookups, inobvunza yakarongeka dhatabhesi padivi pemagwaro, uye inotaura zvese zvinodaro. Tarisira vimbiso dzakasimba, kubata zvirinani kwemachati nematafura, uye nzira dzekuongorora dzinogutsa zvikwata zvinoteerera. Sezvo mamodheru achichipa, musiyano unova wekudzoreredza mhando uye kutsvagisa, kwete mbishi modhi saizi - yekumisikidza nyanzvi seContextual AI ichipesana negeneric chatbot mapuratifomu.
Real-World Implementation
Vaongorori vebhanga vanobvunza zviuru zvemishumo yekutsvagisa yemukati uye mafaera emuhoro uye vanowana mhinduro dzine chaidzo dzakatorwa kupeji rekubva.
Kambani yeinjiniya inotsvaga makumi emakore ezvinyorwa zvekushandisa uye matanda ekugadzirisa kuti aone kukanganisa kwemuchina pasina kuverenga yega PDF.
Chikwata cheinishuwarenzi chinotarisa mazwi epolicy mumazana emakontrakiti akasiyana kuti aone kana chikumbiro chakavharwa.
Kambani yemishonga inotarisana neakakodzera kiriniki yekuyedza mapuroteni uye zvinodzorwa zvinotumirwa uku ichichengeta data mukati menzvimbo yayo.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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Munyori Enterprise AI
Mibvunzo inowanzo bvunzwa
What is Contextual AI Enterprise RAG?
Contextual AI inovaka kuguma-kusvika-kumagumo kudzoreredza-yakawedzera chizvarwa (RAG) masisitimu emabhizinesi, yakavambwa nevaongorori vakagadzira izwi rekuti RAG. Izvo zvine basa nekuti inobata chikamu chakaomesesa chebhizinesi AI: kupa mhando dzemitauro dzakaringana, dzakadzika mhinduro kubva kumakambani ega ega zvinyorwa.
Chii chinonzi acronym RAG?
RAG inomirira Retrieval-Augmented Generation, uko modhi inotora magwaro akakodzera isati yaburitsa mhinduro.
Nei Contextual AI's timu yekutanga ichizivikanwa?
Vavambi Douwe Kiela naAmanpreet Singh vaive vanyori vanotungamira bepa ra2020 iro rakaunza RAG.
Ndechipi chinangwa chikuru cheContextual AI's grounded language modhi (GLM)?
Iyo GLM inodzidziswa kupindura zvakasimba kubva mundima dzakadzoserwa uye kubvuma kusava nechokwadi, ichidzikisa njodzi yemhinduro dzakagadzirwa.
Nhanho yekudzokorora inoitei mupombi yeRAG?
Kuronga patsva kunorongedza machunks ekutanga kuitira kuti ndima dzinonyanya kukosha dzisvike kune jenareta.
Ndeipi mukana weContextual AI inoti pamusoro peiyo generic chatbot yakavharirwa pane vector dhatabhesi?
Iyo kambani inokwidziridza kupatsanura, kudzoreredza, kurongazve, uye chizvarwa pamwe chete pane kubata chimwe nechimwe sechikamu chakasiyana.