{"id":608,"date":"2025-12-25T08:00:21","date_gmt":"2025-12-25T05:00:21","guid":{"rendered":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/"},"modified":"2025-12-25T08:00:42","modified_gmt":"2025-12-25T05:00:42","slug":"indexer-nedir-rag-sistemleri","status":"publish","type":"post","link":"https:\/\/neku.ai\/en\/indexer-nedir-rag-sistemleri\/","title":{"rendered":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim"},"content":{"rendered":"

Indexer nedir<\/strong><\/h1>\n
\n

Giri\u015f<\/strong><\/h3>\n

Indexer, RAG (Retrieval-Augmented Generation) ve bilgi getirme sistemlerinde dok\u00fcmanlar\u0131n makine taraf\u0131ndan h\u0131zl\u0131, do\u011fru ve anlaml\u0131 bi\u00e7imde bulunmas\u0131n\u0131 sa\u011flayan temel bile\u015fendir. AI tabanl\u0131 sistemlerde verinin eri\u015filebilirli\u011fi ve tutarl\u0131l\u0131\u011f\u0131 indexer i\u015flemleriyle sa\u011flan\u0131r. \u00d6zellikle vekt\u00f6r arama ve dok\u00fcman i\u015fleme s\u00fcre\u00e7lerinde, indexer verinin d\u00fczenlenmesini ve h\u0131zl\u0131 geri getirilmesini m\u00fcmk\u00fcn k\u0131lar.<\/p>\n

\n

Indexer nedir tan\u0131m\u0131<\/strong><\/h3>\n

Indexer, ham veriyi veya dok\u00fcmanlar\u0131 arama ve sorgu sistemlerinin etkin kullanabilece\u011fi \u015fekilde yap\u0131land\u0131ran bir s\u00fcre\u00e7tir. Bu i\u015flem, her dok\u00fcman\u0131n temsilini (\u00f6rne\u011fin embedding veya metadata) sistemin anlayaca\u011f\u0131 \u015fekilde indeksleme yaparak optimize eder. RAG mimarilerinde indexer, bilgi getirmenin verimli \u00e7al\u0131\u015fmas\u0131n\u0131 garanti eden katmand\u0131r.<\/p>\n

\n

Indexer nas\u0131l \u00e7al\u0131\u015f\u0131r<\/strong><\/h3>\n

Bir indexer, veriyi temsil edecek \u00f6zellikleri belirler, bu \u00f6zellikleri bir vekt\u00f6r veya anahtar-de\u011fer yap\u0131s\u0131na d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve arama motoruna veya bilgi getirici katmana aktar\u0131r. \u00c7al\u0131\u015fma prensibi, i\u00e7eriklerin ayr\u0131\u015ft\u0131r\u0131lmas\u0131, normalizasyonu, indekslenmesi ve sorgu an\u0131nda geri \u00e7a\u011fr\u0131lmas\u0131 ad\u0131mlar\u0131n\u0131 i\u00e7erir. Ger\u00e7ek sistemlerde bu i\u015flem hem h\u0131z hem de do\u011fruluk a\u00e7\u0131s\u0131ndan optimize edilir.<\/p>\n

Temel parametreler ve ayarlar<\/strong><\/h3>\n

Bir indexer yap\u0131land\u0131r\u0131l\u0131rken embedding boyutu, benzerlik metri\u011fi (\u00f6rne\u011fin cosine benzerli\u011fi), par\u00e7alama stratejisi ve veritaban\u0131 tipi gibi ayarlar kritik rol oynar. Bu parametreler, sistemin arama kalitesini ve yan\u0131t h\u0131z\u0131n\u0131 belirler. Yanl\u0131\u015f ayarlanan indexer parametreleri, bilgi getirme performans\u0131n\u0131 do\u011frudan d\u00fc\u015f\u00fcr\u00fcr.<\/p>\n

S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h3>\n

Verinin d\u00fczg\u00fcn normalize edilmemesi, dok\u00fcmanlar\u0131n a\u015f\u0131r\u0131 par\u00e7alanmas\u0131 veya embedding modelinin i\u00e7eri\u011fe uygun se\u00e7ilmemesi s\u0131k rastlanan hatalard\u0131r. Bu hatalardan ka\u00e7\u0131nmak i\u00e7in veri t\u00fcr\u00fcne uygun \u00f6n i\u015fleme yap\u0131lmal\u0131, model parametreleri test edilerek optimize edilmelidir.<\/p>\n

Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h3>\n

n8n ile orkestrasyon s\u00fcre\u00e7lerinde veya SAP entegrasyonlar\u0131nda indexer, i\u015f ak\u0131\u015f\u0131 verilerini semantik bi\u00e7imde aramak i\u00e7in kullan\u0131l\u0131r. \u00d6rne\u011fin, bir SAP raporu dok\u00fcman olarak i\u015flenir, embedding al\u0131n\u0131r ve indexer taraf\u0131ndan vekt\u00f6r taban\u0131na eklenir. B\u00f6ylece do\u011fal dil sorgular\u0131yla bilgiye h\u0131zl\u0131 eri\u015fim sa\u011flan\u0131r.<\/p>\n

\n

Teknik a\u00e7\u0131klama (derin seviye)<\/strong><\/h3>\n

RAG mimarisinde indexer, bilgi getirme zincirinin ilk halkas\u0131d\u0131r. Dok\u00fcman i\u015fleme mod\u00fcl\u00fc veriyi temizler, embedding modeli dok\u00fcman\u0131 vekt\u00f6rle\u015ftirir, indexer bu vekt\u00f6rleri arama altyap\u0131s\u0131na y\u00fckler. Sorgu geldi\u011finde sistem embedding uzay\u0131nda yak\u0131n vekt\u00f6rleri bulur ve ilgili dok\u00fcmanlar\u0131 getirir. Bu i\u015flem, verimli vekt\u00f6r arama algoritmalar\u0131 (\u00f6rne\u011fin FAISS veya Milvus) \u00fczerinden ger\u00e7ekle\u015fir. Indexer, veri ak\u0131\u015f\u0131n\u0131 optimize ederek bilgi eri\u015fim ve \u00fcretim s\u00fcre\u00e7lerini dengeler.<\/p>\n

\n

\u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n
    \n
  • Performans:<\/strong> Arama ve bilgi eri\u015fimi h\u0131z\u0131n\u0131 art\u0131r\u0131r. <\/li>\n
  • G\u00fcvenilirlik:<\/strong> Tutarl\u0131 veri eri\u015fimi sa\u011flar. <\/li>\n
  • Maliyet:<\/strong> Hesaplama kaynaklar\u0131n\u0131 azaltarak i\u015flem maliyetini d\u00fc\u015f\u00fcr\u00fcr. <\/li>\n
  • \u00d6l\u00e7ekleme:<\/strong> Artan dok\u00fcman hacmine ra\u011fmen sistem performans\u0131n\u0131 korur. <\/li>\n
  • Otomasyon:<\/strong> Veri haz\u0131rl\u0131\u011f\u0131 ve bilgi getirimi s\u00fcre\u00e7lerini otomatize eder. <\/li>\n
  • Karar alma:<\/strong> Do\u011fru veri eri\u015fimi ile analitik sonu\u00e7lar\u0131n do\u011frulu\u011funu y\u00fckseltir. <\/li>\n
  • Operasyonel verimlilik:<\/strong> Bilgiye eri\u015fim s\u00fcresini azaltarak i\u015f s\u00fcre\u00e7lerini h\u0131zland\u0131r\u0131r.<\/li>\n<\/ul>\n
    \n

    Bu kavram NeKu.AI i\u00e7inde nas\u0131l uygulan\u0131r<\/strong><\/h3>\n

    NeKu.AI bilgi taban\u0131 altyap\u0131s\u0131nda indexer, grounding mimarisiyle entegre \u00e7al\u0131\u015f\u0131r. Sistem, gelen bilgi belgelerini otomatik olarak vekt\u00f6rle\u015ftirir ve embedding taban\u0131na i\u015fler. Bu yakla\u015f\u0131m, kurumsal RAG uygulamalar\u0131nda do\u011fru bilgiye h\u0131zl\u0131 eri\u015fim ve sistemin kendi bilgi kaynaklar\u0131yla tutarl\u0131 yan\u0131t \u00fcretimi sa\u011flar. Indexer ayr\u0131ca workflow otomasyonu s\u0131ras\u0131nda veri ak\u0131\u015f\u0131n\u0131 semantik olarak optimize eder.<\/p>\n

    \n

    AI geli\u015ftiricileri, veri m\u00fchendisleri i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n
      \n
    1. Sorun:<\/strong> Bir \u015firket, y\u00fczlerce teknik dok\u00fcman i\u00e7inden do\u011fru bilgiyi do\u011fal dil sorgusuyla bulmakta zorlan\u0131yor. <\/li>\n
    2. Ba\u011flam:<\/strong> RAG mimarisi uygulan\u0131yor ancak dok\u00fcman eri\u015fim katman\u0131 yava\u015f. <\/li>\n
    3. Kavram\u0131n uygulanmas\u0131:<\/strong> Geli\u015ftirici indexer mod\u00fcl\u00fc kurar, dok\u00fcmanlar\u0131 embedding modelinden ge\u00e7irir ve vekt\u00f6r taban\u0131na indeksler. <\/li>\n
    4. Sonu\u00e7:<\/strong> Sorgular saniyeler i\u00e7inde ilgili belgeleri getirir. <\/li>\n
    5. \u0130\u015f etkisi:<\/strong> Bilgiye eri\u015fim s\u00fcresi azal\u0131r, operasyonel karar alma h\u0131zlan\u0131r, sistem daha verimli \u00e7al\u0131\u015f\u0131r.<\/li>\n<\/ol>\n
      \n

      S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n

      S\u0131k yap\u0131lan hatalar aras\u0131nda yanl\u0131\u015f embedding modeli se\u00e7imi, verinin fazladan indekslenmesi veya indexer konfig\u00fcrasyonunun hatal\u0131 yap\u0131land\u0131r\u0131lmas\u0131 yer al\u0131r. En iyi uygulamalar ise: <\/p>\n

        \n
      • Dok\u00fcmanlar\u0131 anlamsal b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc koruyarak par\u00e7alamak <\/li>\n
      • \u0130ndeksleme \u00f6ncesi veriyi temizlemek <\/li>\n
      • Arama metri\u011fini sorgu tipine g\u00f6re se\u00e7mek <\/li>\n
      • Sistem performans\u0131n\u0131 d\u00fczenli olarak test etmek
        \nBu yakla\u015f\u0131mlar, bilgi getirme sistemlerinin do\u011fruluk oran\u0131n\u0131 ve h\u0131z\u0131n\u0131 maksimize eder.<\/li>\n<\/ul>\n
        \n

        Sonu\u00e7<\/strong><\/h3>\n

        Indexer, RAG ve bilgi getirme mimarilerinin verimlili\u011fini belirleyen \u00e7ekirdek bile\u015fendir. Do\u011fru yap\u0131land\u0131r\u0131lm\u0131\u015f bir indexer, dok\u00fcman i\u015fleme ve vekt\u00f6r arama s\u00fcre\u00e7lerinde hem teknik hem operasyonel \u00fcst\u00fcnl\u00fck sa\u011flar. NeKu.AI gibi kurumsal sistemlerde indexer, grounding ve bilgi taban\u0131 mant\u0131\u011f\u0131yla birle\u015ferek yapay zekan\u0131n g\u00fcvenilir veri eri\u015fimi y\u00f6n\u00fcn\u00fc g\u00fc\u00e7lendirir.<\/p>","protected":false},"excerpt":{"rendered":"

        Indexer nedir Giri\u015f Indexer, RAG (Retrieval-Augmented Generation) ve bilgi getirme sistemlerinde dok\u00fcmanlar\u0131n makine taraf\u0131ndan h\u0131zl\u0131, do\u011fru ve anlaml\u0131 bi\u00e7imde bulunmas\u0131n\u0131 sa\u011flayan temel bile\u015fendir. AI tabanl\u0131 sistemlerde [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":609,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[],"tags":[],"class_list":["post-608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nRAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/neku.ai\/en\/indexer-nedir-rag-sistemleri\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI\" \/>\n<meta property=\"og:description\" content=\"Indexer nedir Giri\u015f Indexer, RAG (Retrieval-Augmented Generation) ve bilgi getirme sistemlerinde dok\u00fcmanlar\u0131n makine taraf\u0131ndan h\u0131zl\u0131, do\u011fru ve anlaml\u0131 bi\u00e7imde bulunmas\u0131n\u0131 sa\u011flayan temel bile\u015fendir. AI tabanl\u0131 sistemlerde [\u2026]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/neku.ai\/en\/indexer-nedir-rag-sistemleri\/\" \/>\n<meta property=\"og:site_name\" content=\"NeKu.AI\" \/>\n<meta property=\"article:published_time\" content=\"2025-12-25T05:00:21+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-25T05:00:42+00:00\" \/>\n<meta name=\"author\" content=\"Serkan \u00d6zcan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Serkan \u00d6zcan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/\"},\"author\":{\"name\":\"Serkan \u00d6zcan\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/person\\\/cf640cfda3e16635fb740662d943e96b\"},\"headline\":\"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim\",\"datePublished\":\"2025-12-25T05:00:21+00:00\",\"dateModified\":\"2025-12-25T05:00:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/\"},\"wordCount\":912,\"publisher\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/12\\\/cover-image-608.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/\",\"url\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/\",\"name\":\"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/12\\\/cover-image-608.jpg\",\"datePublished\":\"2025-12-25T05:00:21+00:00\",\"dateModified\":\"2025-12-25T05:00:42+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#primaryimage\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/12\\\/cover-image-608.jpg\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/12\\\/cover-image-608.jpg\",\"width\":1024,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/neku.ai\\\/indexer-nedir-rag-sistemleri\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\\\/\\\/neku.ai\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#website\",\"url\":\"https:\\\/\\\/neku.ai\\\/\",\"name\":\"NeKuAI\",\"description\":\"\u0130\u015fletmenizi daha "Ak\u0131ll\u0131" yap\u0131n\",\"publisher\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/neku.ai\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\",\"name\":\"NeKuAI\",\"url\":\"https:\\\/\\\/neku.ai\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/apple-icon-180x180-1.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/apple-icon-180x180-1.png\",\"width\":180,\"height\":180,\"caption\":\"NeKuAI\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/person\\\/cf640cfda3e16635fb740662d943e96b\",\"name\":\"Serkan \u00d6zcan\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"caption\":\"Serkan \u00d6zcan\"},\"url\":\"https:\\\/\\\/neku.ai\\\/en\\\/author\\\/serkanozcan\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/neku.ai\/en\/indexer-nedir-rag-sistemleri\/","og_locale":"en_US","og_type":"article","og_title":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI","og_description":"Indexer nedir Giri\u015f Indexer, RAG (Retrieval-Augmented Generation) ve bilgi getirme sistemlerinde dok\u00fcmanlar\u0131n makine taraf\u0131ndan h\u0131zl\u0131, do\u011fru ve anlaml\u0131 bi\u00e7imde bulunmas\u0131n\u0131 sa\u011flayan temel bile\u015fendir. AI tabanl\u0131 sistemlerde [\u2026]","og_url":"https:\/\/neku.ai\/en\/indexer-nedir-rag-sistemleri\/","og_site_name":"NeKu.AI","article_published_time":"2025-12-25T05:00:21+00:00","article_modified_time":"2025-12-25T05:00:42+00:00","author":"Serkan \u00d6zcan","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Serkan \u00d6zcan","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#article","isPartOf":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/"},"author":{"name":"Serkan \u00d6zcan","@id":"https:\/\/neku.ai\/#\/schema\/person\/cf640cfda3e16635fb740662d943e96b"},"headline":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim","datePublished":"2025-12-25T05:00:21+00:00","dateModified":"2025-12-25T05:00:42+00:00","mainEntityOfPage":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/"},"wordCount":912,"publisher":{"@id":"https:\/\/neku.ai\/#organization"},"image":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/12\/cover-image-608.jpg","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/","url":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/","name":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim - NeKu.AI","isPartOf":{"@id":"https:\/\/neku.ai\/#website"},"primaryImageOfPage":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#primaryimage"},"image":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/12\/cover-image-608.jpg","datePublished":"2025-12-25T05:00:21+00:00","dateModified":"2025-12-25T05:00:42+00:00","breadcrumb":{"@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#primaryimage","url":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/12\/cover-image-608.jpg","contentUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/12\/cover-image-608.jpg","width":1024,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/neku.ai\/indexer-nedir-rag-sistemleri\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/neku.ai\/"},{"@type":"ListItem","position":2,"name":"RAG sistemlerinde indexer ile veriye hizli ve dogru erisim"}]},{"@type":"WebSite","@id":"https:\/\/neku.ai\/#website","url":"https:\/\/neku.ai\/","name":"NeKuAI","description":"\u0130\u015fletmenizi daha "Ak\u0131ll\u0131" yap\u0131n","publisher":{"@id":"https:\/\/neku.ai\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/neku.ai\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/neku.ai\/#organization","name":"NeKuAI","url":"https:\/\/neku.ai\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/#\/schema\/logo\/image\/","url":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/02\/apple-icon-180x180-1.png","contentUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/02\/apple-icon-180x180-1.png","width":180,"height":180,"caption":"NeKuAI"},"image":{"@id":"https:\/\/neku.ai\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/neku.ai\/#\/schema\/person\/cf640cfda3e16635fb740662d943e96b","name":"Serkan \u00d6zcan","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","url":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","contentUrl":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","caption":"Serkan \u00d6zcan"},"url":"https:\/\/neku.ai\/en\/author\/serkanozcan\/"}]}},"_links":{"self":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/608","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/comments?post=608"}],"version-history":[{"count":0,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/608\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media\/609"}],"wp:attachment":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media?parent=608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/categories?post=608"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/tags?post=608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}