Arama Destekli \u00dcretim (RAG), LLM’leri<\/a> bilgi alma sistemleriyle\u2014tipik olarak vector veritabanlar\u0131yla<\/a>\u2014birle\u015ftirerek belirli belgelere veya veri kaynaklar\u0131na dayal\u0131 \u00e7\u0131kt\u0131lar \u00fcreten ve hal\u00fcsinasyonlar\u0131 azaltan ve \u00f6zel veya g\u00fcncel bilgilerin kullan\u0131lmas\u0131n\u0131 sa\u011flayan bir tekniktir.<\/p>\n Bir RAG hatt\u0131 \u00fc\u00e7 a\u015famaya sahiptir. \u00d6nce, kaynak belgeler par\u00e7alara ayr\u0131l\u0131r, vector temsillerine g\u00f6m\u00fcl\u00fcr ve bir vector veritaban\u0131nda saklan\u0131r. \u0130kinci olarak, sorgu zaman\u0131nda kullan\u0131c\u0131n\u0131n sorusu da g\u00f6m\u00fcl\u00fcr ve veritaban\u0131ndan en anlamsal olarak benzer par\u00e7alar\u0131 almak i\u00e7in kullan\u0131l\u0131r. \u00dc\u00e7\u00fcnc\u00fc olarak, al\u0131nan par\u00e7alar LLM<\/a>’nin prompt’una ba\u011flam olarak eklenir ve model o par\u00e7alara dayal\u0131 bir cevap \u00fcretir. Modern RAG sistemleri karma\u015f\u0131k sorular i\u00e7in yeniden s\u0131ralama, sorgu yeniden yazma ve \u00e7ok ad\u0131ml\u0131 arama ekler.<\/p>\n Saf LLM<\/a>’lerin RAG’in ele ald\u0131\u011f\u0131 \u00fc\u00e7 s\u0131n\u0131rlamas\u0131 vard\u0131r: bilgi kesimleri (LLM’ler yaln\u0131zca e\u011fitim verilerinde olan\u0131 bilir), \u00f6zel verilere eri\u015fememe ve hal\u00fcsinasyonlar (kendinden emin g\u00f6r\u00fcnen ancak yanl\u0131\u015f \u00e7\u0131kt\u0131lar). RAG \u00e7\u0131kt\u0131lar\u0131 eri\u015filebilir belgelere ba\u011flar, sistemi yeniden e\u011fitim olmadan g\u00fcncellenebilir hale getirir, e\u011fitim s\u0131ras\u0131nda veriyi a\u00e7\u0131\u011fa \u00e7\u0131karmadan \u00f6zel veri eri\u015fimini sa\u011flar ve do\u011frulama i\u00e7in at\u0131f izleri sunar.<\/p>\n Yayg\u0131n kurumsal RAG uygulamalar\u0131 \u015funlard\u0131r: m\u00fc\u015fteriye d\u00f6n\u00fck bilgi tabanlar\u0131 (Intercom Fin, Zendesk AI), i\u00e7 bilgi asistanlar\u0131 (Glean, Notion AI), hukuki ara\u015ft\u0131rma asistanlar\u0131 (Harvey, Hebbia) ve belge Soru-Cevap \u00fcr\u00fcnleri. \u00dcretim RAG in\u015fas\u0131 dikkatli par\u00e7alama stratejisi, g\u00f6mme<\/a> modeli se\u00e7imi, vector veritaban\u0131<\/a> se\u00e7imi (Pinecone, Weaviate, Qdrant, pgvector) ve arama kalitesini ve cevap sadakatini \u00f6l\u00e7mek i\u00e7in de\u011ferlendirme altyap\u0131s\u0131 gerektirir.<\/p>\n","protected":false},"excerpt":{"rendered":" TLDR: Arama Destekli \u00dcretim (RAG), LLM’leri bilgi alma sistemleriyle\u2014tipik olarak vector veritabanlar\u0131yla\u2014birle\u015ftirerek belirli belgelere veya veri kaynaklar\u0131na dayal\u0131 \u00e7\u0131kt\u0131lar \u00fcreten ve hal\u00fcsinasyonlar\u0131 azaltan ve \u00f6zel veya g\u00fcncel bilgilerin kullan\u0131lmas\u0131n\u0131 sa\u011flayan bir tekniktir. RAG Nas\u0131l \u00c7al\u0131\u015f\u0131r Bir RAG hatt\u0131 \u00fc\u00e7 a\u015famaya sahiptir. \u00d6nce, kaynak belgeler par\u00e7alara ayr\u0131l\u0131r, vector temsillerine g\u00f6m\u00fcl\u00fcr ve bir vector veritaban\u0131nda saklan\u0131r. \u0130kinci […]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"categories":[],"class_list":["post-11903","term","type-term","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11903","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term"}],"about":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/types\/term"}],"author":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/comments?post=11903"}],"version-history":[{"count":2,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11903\/revisions"}],"predecessor-version":[{"id":12932,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11903\/revisions\/12932"}],"wp:attachment":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/media?parent=11903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/categories?post=11903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}RAG Nas\u0131l \u00c7al\u0131\u015f\u0131r<\/h3>\n
RAG Neden Saf LLM’lerden Daha \u0130yi<\/h3>\n
Kurumsal RAG Kal\u0131plar\u0131<\/h3>\n