Mweghachite ọkwa
Mweghachite n'ọkwa nke abụọ nke nchọ ọgbara ọhụrụ: mgbe onye na-eweghachi ngwa ngwa dọtara onye ndoro-ndoro ochichi, ihe nlereanya dị ike karị na-enyeghachi ndị a na-aga ime ka ndị dị mkpa n'ezie rute n'elu.
Nchịkọta
It is the quality boost behind better search and more accurate RAG systems.
Ime miri emi
Ọgbọ achọ na iweghachite na-agbakarị n'ọkwa abụọ. Nke mbụ, onye na-eweghachite ngwa ngwa (BM25 nke isiokwu dabere ma ọ bụ nchọta vector siri ike) na-ejide ọdọ mmiri sara mbara - kwuo 100 kachasị elu - na-ebuli maka ncheta na ọsọ ọsọ. Mgbe ahụ, onye reranker na-enyocha ndị a na-eme ntuli aka nke ọma ma degharịa ha iwu site na mkpa, na-ebuli elu maka nkenke n'elu. The classic reranker bụ cross-encoder: ọ na-azụ ajụjụ na onye ọ bụla na-ahọpụta akwụkwọ ọnụ ka ọ bụrụ ihe ntụgharị ka nlebara anya nwere ike iji ha tụnyere okwu site na okwu, na-ewepụta otu akara mkpa. Nke a bụ ihe ziri ezi karịa ihe ntinye nke onye na-eweghachite onwe ya mana ọ na-adị ngwa ngwa ịgafe n'ozuzu corpus-ya mere a na-eji usoro abụọ eme ya. Na RAG, nhazigharị dị mma pụtara na ihe nlereanya ahụ na-ahụ akụkụ ndị kachasị mkpa, na-ebelata ịhụ nhụsianya na ịkwalite ogo azịza.
Nghọta nka nka
Isi ihe dị iche bụ ihe ngbanwe bi-encoder na ntinye koodu. Ihe ngbanwe bi-encoder na-etinye ajụjụ na akwụkwọ iche iche, yabụ enwere ike ịgbakọ vectors wee tụnye ya na ngwaahịa ntụpọ ngwa ngwa-ọ dị mma maka iweghachite ọkwa mbụ. A cross-encoder na-ejikọta ajụjụ na akwụkwọ ma na-agbakọta ha ọnụ site na transformer, na-ekwe ka nlebara anya zuru oke kpee mkpa. Cross-encoders bụ ihe ziri ezi karịa mana enweghị ike ịkọpụta vectors akwụkwọ, yabụ edobere ha maka ịhazigharị obere onye ndoro-ndoro ochichi kama inyocha ihe niile.
Mmetụta atụmatụ
Ọsọ na ọnụ ọgụgụ
Usoro ọrụ asụsụ nwere ike ịga ngwa ngwa n'achụghị nkwụsi ike.
Nweta na iru
Ọ na-agbasawanye ohere n'ofe asụsụ na ụdị nzikọrịta ozi.
Mkpebi doro anya
Ndị otu nwere ike itinyekwu oge na ikpe ebe akpaaka na-ejikwa nkwughachi.
Ọdịnihu nke iweghachite ọkwa
Reranking bụ isi na nchọpụta mmepụta yana RAG, ngwa ngwa na-agbasa ngwa ngwa. API ndị rerank anabatara (dị ka Cohere Rerank) na ụdị ihe nkpuchi meghere emewo ka ọ dị mfe ịgbanye. Ntuziaka ọhụrụ na-agụnye iji ụdị asụsụ buru ibu n'onwe ha dị ka ndị na-atụgharị uche na-atụgharị uche na onye ọ bụla n'otu n'otu eguzobere n'otu oge, ụdị mmekọrịta oge dị ka ColBERT na-edozi ọsọ na izi ezi, na ịmụta ngwakọta nke ọtụtụ ndị na-eweghachite. Ka mpio ndị gbara ya gburugburu na-etolite, na-atụ anya njikọ siri ike n'etiti nhazigharị yana otu esi ahọpụta ma nye iwu maka ọgbọ.
Mmejuputa n'ezie n'ụwa
RAG chatbot na-eweghachite akụkụ 50 site na iji nyocha vector, mgbe ahụ, ihe ntinye ederede na-edobe ha ka 5 kacha enye nri na LLM kacha mkpa.
Ọchụchọ saịtị e-azụmahịa na-eji BM25 maka ncheta, mgbe ahụ, onye reranker na-atụgharị ngwaahịa site na mkpa ajụjụ iji bulie mgbanwe.
Na-akpọ API rerank anabatara (dịka, Cohere Rerank) ka ịhazigharị ihe nchọta na-azụghị ụdị omenala.
Iji mkparịta ụka mbubreyo ụdị nke ColBERT iji mee ka ndị na-eme ntuli aka nwere izi ezi ntinye-cross dị nso na obere oge.
Ihe ize ndụ & okporo ụzọ nche
Eziokwu ndị e chepụtara echepụta nwere ike jiri nwayọ tinye akụkọ, nkwado nkwado, ma ọ bụ nsonaazụ nyocha.
Mmetụta ngwa ngwa nwere ike ịmepụta nsonaazụ na-ekwekọghị ekwekọ n'ofe arịrịọ ndị yiri ya.
Enwere ike ikpughe data ederede nwere mmetụta ma ọ bụrụ na njikwa ohere adịghị ike.
Map mmejuputa
Kọwaa usoro mmepụta, ụda, na ụkpụrụ ịdịmma tupu ibugharị.
Weghachite nzaghachi site na isi mmalite ntụkwasị obi mgbe ọ bụla izi ezi dị mkpa.
Debe ebe nleba anya mmadụ maka mpụta dị elu.
Sochie ụkpụrụ ọdịda ma na-azụghachi mkpali ma ọ bụ usoro ọrụ mgbe niile.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ogo eweghachi
Ajụjụ a na-ajụkarị
What is Retrieval Reranking?
Mweghachite n'ọkwa nke abụọ nke nchọ ọgbara ọhụrụ: mgbe onye na-eweghachi ngwa ngwa dọtara onye ndoro-ndoro ochichi, ihe nlereanya dị ike karị na-enyeghachi ndị a na-aga ime ka ndị dị mkpa n'ezie rute n'elu. Ọ bụ nkwalite ogo dị n'azụ ọchụchọ ka mma yana sistemu RAG ziri ezi.
Kedu ọrụ nke onye na-ebugharị na ọkpọkọ eweghachi?
Ndozigharị bụ ọkwa nke abụọ: ọ na-eji nlezianya na-edegharị ndị na-eme ntuli aka onye na-eweghachite ngwa ngwa, na-ebuli nkenke n'elu.
Kedu ihe na-egosi ọdịiche dị n'obe koodu na koodu bi-encoder?
Cross-encoders na-ejikọta ajụjụ na akwụkwọ ma na-agbakọta ha ọnụ, na-eme ka nlebara anya zuru oke na izi ezi dị elu.
Kedu ihe kpatara eji eji koodu nzuzo emegharị karịa ka eweghachite ọkwa nke mbụ?
N'ihi na a ga-ahazirịrị ajụjụ a na akwụkwọ ọ bụla ọnụ, ị nweghị ike ịkọpụta vectors akwụkwọ, yabụ ndị ntinye koodu na-agba naanị n'otu obere onye ndoro-ndoro ochichi.
Kedu ihe onye nweghachi ọkwa nke mbụ na-ejikarị eme ihe?
Onye na-eweghachite na-atụba ụgbụ sara mbara, ngwa ngwa ka o wee bulie ncheta; onye reranker na-amụba nkenke na ọdọ mmiri ahụ.
Kedu ka ngbanwe dị mma si enyere sistemu RAG aka?
Ịnye LLM akụkụ ndị kachasị mkpa na-eme ka azịza ziri ezi ma na-ebelata ọdịnaya echere.