Overview
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.
Contextual AI Enterprise RAG inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
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.
Mastering 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. Contextual AI Enterprise RAG inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuvaka kunzwisisa kwakadzama, bata Contextual AI Enterprise RAG semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, jekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune izvo zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Contextual AI Enterprise RAG inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
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.
Maitiro Ekuita
Contextual AI Enterprise RAG mukuita
Vaongorori vebhanga vanobvunza zviuru zvemishumo yekutsvagisa yemukati uye mafaera emuhoro uye vanowana mhinduro dzine chaidzo dzakatorwa kupeji rekubva.
Vaongorori vebhanga vanobvunza zviuru zvemishumo yekutsvagisa yemukati uye mafaera emuhoro uye vanowana mhinduro dzine chaidzo dzakateerwa kune inotangira peji Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Contextual AI Enterprise RAG mukuita
Kambani yeinjiniya inotsvaga makumi emakore ezvinyorwa zvekushandisa uye matanda ekugadzirisa kuti aone kukanganisa kwemuchina pasina kuverenga yega PDF.
Kambani yeinjiniya inotsvaga makumi emakumi emakore ezvinyorwa zvemichina uye matanda ekugadzirisa kuti aongorore kukanganisa kwemuchina pasina kuverenga yega maPDF Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Contextual AI Enterprise RAG mukuita
Chikwata cheinishuwarenzi chinotarisa mazwi epolicy mumazana emakontrakiti akasiyana kuti aone kana chikumbiro chakavharwa.
Chikwata cheinishuwarenzi chinotarisa manyorerwo emitemo mumazana emakondirakiti akasiyana kuti aone kana chikumbiro chakavharwa Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengeta nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Contextual AI Enterprise RAG mukuita
Kambani yemishonga inotarisana neakakodzera kiriniki yekuyedza mapuroteni uye zvinodzorwa zvinotumirwa uku ichichengeta data mukati menzvimbo yayo.
Kambani yemishonga inotarisana neakakodzera kiriniki yekuyedza maprotocol uye zvinotumirwa uku ichichengeta data mukati meyayo nharaunda Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
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.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.