Farashin RAG
Wakilin RAG yana haɓaka tsararrun sake dawo da talakawa ta hanyar barin wakili ya yanke shawarar yaushe, menene, da sau nawa don bincika kafin amsawa.
Dubawa
Instead of one fixed lookup, it reasons, retrieves, and refines in a loop.
Zurfafa nutsewa
Ƙarni mai haɓakawa na zamani (RAG) yana yin abu ɗaya: ɗauki tambayar mai amfani, ɗauko ƴan takaddun da suka dace daga shagon vector, sannan saka su cikin gaggawa. Wakilin RAG yana yanke shawara mai aiki. Wakili ya fara yin dalilai game da ko yana buƙatar bincike, menene tambaya don amfani, da kuma wane tushe don tambaya. Zai iya karya tambaya mai wuya zuwa ƙananan tambayoyi, dawo da kowane, kimanta ko sakamakon ya isa, sannan a sake bincika tare da ingantaccen tambaya idan ba haka ba. Yana iya tafiya tsakanin tushen ilimi da yawa, kira binciken yanar gizo, ko amfani da bayanan SQL dangane da tambayar. Wannan ɗabi'a na zaɓin kayan aiki, yana ɗaukar tambayoyin hop da yawa ('Wane ne daga cikin abokan cinikinmu a Texas suka yi rajista bayan canjin manufofin?') RAG mai harbi guda ɗaya yana amsawa mara kyau, a farashin ƙarin ƙirar ƙira da latency.
Fahimtar Fasaha
Wakilin yana ɗaukar masu dawo da kayan aiki. A kowane juyi yana iya zaɓar aikin dawo da, duba ɓangarorin da aka dawo, yanke hukunci dacewarsu, sannan yanke shawarar amsa ko sake tambaya tare da buƙatar sake fasalin. Madauki tare da yanayin tsayawa (isasshen shaida, ko iyakacin mataki) yana sarrafa maimaitawa. Wasu ƙira suna ƙara matakin ƙididdigewa wanda ke tace abubuwan da aka dawo da su kafin tsarawa, yana rage damar da za a yaudare samfurin ta hanyar mahallin magana.
Dabarun Tasiri
Gina zaɓuɓɓuka
Tsarin matakin aikace-aikacen yana ƙayyade ko AI yana inganta sakamako na gaske.
Ƙungiya da aikin aiki
Kyakkyawan haɗin gwiwar aiki yana haifar da ribar yawan aiki masu amfani za su iya amincewa.
Haɗari da aminci
Abubuwan da aka yi amfani da su da kyau suna rage gajiyar canji da haɗarin aiwatarwa.
Makomar Agent RAG
Agenttic RAG yana haɗuwa tare da manyan tsare-tsare na wakili: maidowa ya zama kayan aiki ɗaya a tsakanin mutane da yawa, tare da masu ƙididdigewa, aiwatar da lambar, da APIs. Yi tsammanin shirin tambaya mafi wayo, ƙididdige ƙimar shaidar da aka dawo da ita, da adana abubuwan da aka dawo da su a baya don rage farashi. Ingantacciyar hanyar tukwici za ta ba da izini ɗaya daga cikin takaddun ciki, gidan yanar gizo, da tsarin bayanai a cikin amsa ɗaya. Babban tashin hankali, daidaito tare da latency da kashe kuɗi, zai fitar da tsarin daidaitawa waɗanda ke amfani da dawo da matakai da yawa kawai lokacin da tambaya ta tabbatar da ita.
Aiwatar da Gaskiyar Duniya
Mataimakin sana'a wanda ke yanke shawarar ko za a nemi littafin jagorar HR, codebase wiki, ko bayanan tallace-tallace na SQL dangane da tambayar.
Mataimaki na bincike wanda ya raba 'kwatanta miyagun ƙwayoyi A da illolin magani B' zuwa bincike guda biyu, ya dawo da kowane, sannan ya haɗa.
Bot mai goyan baya wanda ke dawo da takardu, yana yanke hukunci bai isa ba, yana sake fasalin tambaya, da sake bincika kafin ba da amsa.
Kayan aiki na doka wanda ke aiwatar da dawo da hop da yawa, gano jumla, sannan neman tsarin da yake magana akai.
Hatsari & Tsare-tsare
Yin aiki da ɓaryayyen tsari na iya haɓaka matsalolin da ke akwai.
Ƙungiyoyi na iya wuce gona da iri kuma su cire hukuncin ɗan adam da ake buƙata.
Ingancin na iya motsawa idan ba a ci gaba da kimanta abubuwan da aka fitar ba.
Taswirar Hanya
Taswirar tsarin aiki na yanzu kuma gano matakin mafi girman juzu'i.
Ƙayyade wuraren bincike na ɗan adam kafin cikakken aiki da kai.
Horar da masu amfani akan faɗakarwa, hanyoyin haɓakawa, da ƙa'idodi masu inganci.
Bibiyar sakamakon matakin ɗawainiya don tabbatar da ƙima mai dorewa.
Ci gaba da Bincike
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Agentic RAG quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Jagora na gaba
RAG
Tambayoyin da ake yawan yi
What is Agentic RAG?
Wakilin RAG yana haɓaka tsararrun sake dawo da talakawa ta hanyar barin wakili ya yanke shawarar yaushe, menene, da sau nawa don bincika kafin amsawa. Madadin ƙayyadaddun dubawa guda ɗaya, yana yin dalili, maidowa, da kuma daidaitawa cikin madauki.
Menene babban bambanci tsakanin RAG mai aiki da RAG na gargajiya?
Classic RAG yana yin ƙayyadaddun dubawa guda ɗaya; wakili RAG yana sanya maidowa aiki, yanke shawara mai jujjuyawa wanda wakili ke sarrafa shi.
Ta yaya wakili RAG ke kula da tambaya mai wuyar gaske?
Rarraba cikin ƙananan tambayoyi da dawo da shaida ga kowanne shine ainihin ƙarfin RAG mai aiki.
A cikin RAG mai aiki, an fi kwatanta masu dawo da su azaman menene ga wakili?
Wakilin yana kula da kowane mai dawowa azaman kayan aiki kuma yana yanke shawarar ko da yadda za'a yi amfani da shi akan kowane juyi.
Menene matakin 'daraja' na zaɓi ya yi a cikin RAG mai aiki?
Matsakaicin darajar darajojin da aka dawo da su yana rage haɗarin cewa mahallin da ba a magana ba ya ɓatar da ƙirar.
Menene babban farashin wakili na RAG idan aka kwatanta da RAG mai harbi guda ɗaya?
Tunani mai maimaitawa da maimaituwar dawowa yana inganta amsoshi amma ƙara jinkiri da kashe kuɗi.