{"id":40943,"date":"2026-03-02T11:00:46","date_gmt":"2026-03-02T08:00:46","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/bedrock-bilgi-tabani-ile-gelismis-rag-chunking-hibrit-arama-ve-yeniden-siralama-teknikleri-ve-terraform-entegrasyonu-%f0%9f%a7%a0\/"},"modified":"2026-03-02T11:00:46","modified_gmt":"2026-03-02T08:00:46","slug":"bedrock-bilgi-tabani-ile-gelismis-rag-chunking-hibrit-arama-ve-yeniden-siralama-teknikleri-ve-terraform-entegrasyonu-%f0%9f%a7%a0","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/bedrock-bilgi-tabani-ile-gelismis-rag-chunking-hibrit-arama-ve-yeniden-siralama-teknikleri-ve-terraform-entegrasyonu-%f0%9f%a7%a0\/","title":{"rendered":"Bedrock Bilgi Taban\u0131 ile Geli\u015fmi\u015f RAG: Chunking, Hibrit Arama ve Yeniden S\u0131ralama Teknikleri ve Terraform Entegrasyonu \ud83e\udde0"},"content":{"rendered":"<h2>Bedrock Bilgi Taban\u0131 ile Geli\u015fmi\u015f RAG: Chunking, Hibrit Arama ve Yeniden S\u0131ralama Teknikleri ve Terraform Entegrasyonu \ud83e\udde0<\/h2>\n<p>B\u00fcy\u00fck Dil Modelleri (LLM&#8217;ler) \u00e7a\u011f\u0131nda, do\u011fru ve g\u00fcncel bilgiye eri\u015fim kritik \u00f6neme sahiptir. \u00dcretken Yapay Zeka (GenAI) uygulamalar\u0131n\u0131n hal\u00fcsinasyon riskini azaltmak ve ba\u011flamsal do\u011frulu\u011funu art\u0131rmak i\u00e7in <b>Retrieval Augmented Generation (RAG)<\/b> mimarisi vazge\u00e7ilmez bir \u00e7\u00f6z\u00fcm sunar. Amazon Bedrock Bilgi Taban\u0131, bu mimariyi AWS ekosisteminde kolayca hayata ge\u00e7irmek i\u00e7in g\u00fc\u00e7l\u00fc bir platform sa\u011flar. Ancak, en iyi performans\u0131 elde etmek i\u00e7in sadece temel RAG uygulamak yeterli de\u011fildir; veri haz\u0131rl\u0131\u011f\u0131, arama mekanizmalar\u0131 ve sonu\u00e7lar\u0131n iyile\u015ftirilmesi gibi alanlarda geli\u015fmi\u015f tekniklere ihtiya\u00e7 duyar\u0131z. Bu makale, ak\u0131ll\u0131 chunking stratejileri, hibrit arama mekanizmalar\u0131 ve yeniden s\u0131ralama (reranking) tekniklerini derinlemesine inceleyecek, t\u00fcm bu karma\u015f\u0131k altyap\u0131n\u0131n Terraform ile nas\u0131l y\u00f6netilece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayacakt\u0131r.<\/p>\n<h2>1. Giri\u015f: RAG ve Bedrock Bilgi Taban\u0131&#8217;n\u0131n \u00d6nemi<\/h2>\n<h3>RAG Nedir ve Neden \u00d6nemlidir?<\/h3>\n<p>Retrieval Augmented Generation (RAG), bir dil modelinin harici bir bilgi taban\u0131ndan ilgili bilgileri almas\u0131n\u0131 ve bu bilgileri kullanarak daha<\/p>\n","protected":false},"excerpt":{"rendered":"B\u00fcy\u00fck Dil Modelleri (LLM&#8217;ler) \u00e7a\u011f\u0131nda, do\u011fru ve g\u00fcncel bilgiye eri\u015fim kritik \u00f6neme sahiptir.","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-40943","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - 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