GraphRAG Hotunan Ilimi
GraphRAG yana haɓaka tsarawar da aka haɓaka ta hanyar gina jadawali na ilimi na ƙungiyoyi da alaƙa daga tarin takaddun, sannan maido da wannan tsarin maimakon keɓancewar rubutu.
Dubawa
It matters because it answers broad, connect-the-dots questions that flat vector search cannot.
Zurfafa nutsewa
RAG na yau da kullun yana raba takardu zuwa gungu-gungu, ya haɗa su, kuma yana maido da mafi kusa da tambaya. Wannan yana aiki don kunkuntar bincike na gaskiya amma ya kasa ga cikakkun tambayoyi kamar 'menene jigogi a cikin wannan duka bayanan?' GraphRAG, wanda Microsoft Bincike ya shahara a cikin 2024, a maimakon haka yana amfani da samfurin harshe don fitar da ƙungiyoyi, halayensu, da alaƙar da ke tsakanin su, tare da haɗa jadawalin ilimi. Sannan tana gudanar da algorithms na gano al'umma kamar Leiden don tattara abubuwan da ke da alaƙa da kuma samar da taƙaitaccen bayani ga kowace al'umma. A lokacin tambaya tsarin zai iya ƙetare alaƙa tare da haɗa waɗannan taƙaitaccen bayanin al'umma, yana ba da damar tunani mai yawa da fahimtar duniya. Sakamakon shine mafi kyawun amsoshi ga tambayoyin waɗanda shaidarsu ta warwatse a cikin takardu da yawa kuma an haɗa su ta hanyar tsaka-tsaki.
Fahimtar Fasaha
GraphRAG yana da matakai biyu. Fihirisa: LLM yana karanta gungu-gungu kuma yana fitar da ƙayyadaddun abubuwa uku (hukunce-hukuncen, alaƙa, mahalli) da kwatancin, waɗanda aka cire su cikin jadawali; tari (misali, Leiden) ƙungiyoyin nodes zuwa cikin manyan al'ummomin, kowane LLM ya taƙaita. Tambayoyi: Binciken 'na gida' yana faɗaɗa daga abubuwan da suka dace da tambaya tare da gefunansu, yayin da taswirar bincike na duniya-rage akan taƙaitawar al'umma don amsa tambayoyi masu faɗi. Dukansu suna ciyar da tsarin mahallin mahallin zuwa ƙirar tsara.
Dabarun Tasiri
Gudu da sikelin
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.
Shiga ku isa
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.
Shawarwari masu haske
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.
Makomar Hotunan Ilimin GraphRAG
Yi tsammanin GraphRAG don haɗawa tare da bayanan bayanan kadarori, koyan ontology ta atomatik, da ƙarin sabuntawar jadawali don haka ilimin ya kasance sabo ba tare da cikakken sake-fidi ba. Tsarukan da suka haɗa da kamanceceniya ta vector tare da jadawali suna zama daidaitattun bututun mai, kuma bututun mai zai ba da damar samfura su tambayi jadawali akai-akai. Kamar yadda ingancin haɓakar haɓakawa ya inganta, GraphRAG yakamata yayi hop-multi-hop, amsoshi masu bayyanawa - tare da hanyoyin ganowa - masu amfani don tushen ilimin kasuwanci, wallafe-wallafen kimiyya, da bincike na bincike.
Aiwatar da Gaskiyar Duniya
Wani manazarci ya tambayi 'waɗanne jigogi ne suka haɗa waɗannan rahotanni 10,000?' da GraphRAG amsoshi ta taswira-rage akan taƙaitawar al'umma.
Ƙungiyar magunguna tana haɗa kwayoyin halitta, magunguna, da cututtuka a cikin takardu zuwa saman alakar hop da yawa wanda binciken vector zai rasa.
Kayan aikin bin ka'ida yana gano yadda ma'amala ke haɗa ƙungiyoyi ta hanyar masu shiga tsakani don nuna alaƙar ɓoyayyiyar haɗari.
Microsoft's budaddiyar tushen laburare na GraphRAG yana bayyani a cikin ƙungiyoyi da al'ummomin Leiden don tambayoyin gida da na duniya.
Hatsari & Tsare-tsare
Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.
Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.
Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.
Taswirar Hanya
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.
Ci gaba da Bincike
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Jagora na gaba
Gudanar da Ilimin AI
Tambayoyin da ake yawan yi
What is GraphRAG Knowledge Graphs?
GraphRAG yana haɓaka tsarawar da aka haɓaka ta hanyar gina jadawali na ilimi na ƙungiyoyi da alaƙa daga tarin takaddun, sannan maido da wannan tsarin maimakon keɓancewar rubutu. Yana da mahimmanci saboda yana amsa tambayoyi masu faɗi, haɗa-da-digi waɗanda binciken vector ba zai iya ba.
Wane babban tsari ne GraphRAG ya gina wanda ya bambanta shi da daidaitaccen RAG?
GraphRAG yana fitar da mahalli da alaƙar da ke tsakanin su zuwa jadawali na ilimi, maimakon dogaro da keɓancewar rubutu kawai.
Wace irin tambaya ce GraphRAG ta fi kulawa fiye da binciken vector?
GraphRAG ya yi fice a cikakke, tambayoyi masu yawa-hop waɗanda shaidarsu ta warwatse kuma tana haɗe ta hanyar tsaka-tsaki.
Wane algorithm ne GraphRAG ke amfani da shi don tara abubuwan da ke da alaƙa cikin al'ummomi?
GraphRAG yana amfani da hanyoyin gano al'umma kamar Leiden zuwa nodes masu alaƙa, sannan ya taƙaita kowace al'umma.
Lokacin fiɗawa, menene ƙirar harshe ke samarwa daga ɓangarorin daftarin aiki?
LLM yana karanta gungu-gungu kuma yana fitar da abubuwa, halaye, da alaƙa sau uku waɗanda aka haɗa cikin jadawali.
Menene bambanci tsakanin binciken 'na gida' da 'duniya' a cikin GraphRAG?
Binciken gida yana ratsa maƙwabta na abubuwan da suka dace da tambaya, yayin da bincike na duniya ke tattara taƙaitaccen bayanin al'umma don amsa tambayoyi masu faɗi.