{"id":43569,"date":"2026-07-23T21:12:57","date_gmt":"2026-07-23T18:12:57","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/"},"modified":"2026-07-23T21:12:57","modified_gmt":"2026-07-23T18:12:57","slug":"ham-saglik-metninden-bilgi-getirim-hatti-kurma","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/","title":{"rendered":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma"},"content":{"rendered":"

Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma<\/h2>\n

Ham sa\u011fl\u0131k verilerini i\u015fleyip \u00e7al\u0131\u015fan bir bilgi getirimi (retrieval pipeline) sistemine d\u00f6n\u00fc\u015ft\u00fcrme ad\u0131mlar\u0131n\u0131 kod \u00f6rnekleriyle ke\u015ffedin.<\/p>\n

Sa\u011fl\u0131k sekt\u00f6r\u00fcnde dijitalle\u015fme h\u0131z\u0131 artt\u0131k\u00e7a, eldeki yap\u0131land\u0131r\u0131lmam\u0131\u015f veri miktar\u0131 da devasa boyutlara ula\u015ft\u0131. Hastane bilgi y\u00f6netim sistemlerinde (HBYS) biriken doktor notlar\u0131, epikriz raporlar\u0131, patoloji sonu\u00e7lar\u0131 ve e-Nab\u0131z benzeri platformlardaki hasta ge\u00e7mi\u015fleri \u00e7o\u011fu zaman d\u00fcz metin format\u0131ndad\u0131r. Ancak bu ham metinler, i\u015flenmedik\u00e7e klinik karar destek sistemleri i\u00e7in bir anlam ifade etmez. Peki, karma\u015f\u0131k ve d\u00fczensiz t\u0131p dilini anlaml\u0131, h\u0131zl\u0131 ve \u00f6l\u00e7eklenebilir bir bilgi getirim boru hatt\u0131na (retrieval pipeline) nas\u0131l d\u00f6n\u00fc\u015ft\u00fcrebiliriz? Bu yaz\u0131m\u0131zda, ham sa\u011fl\u0131k metinlerini modern yapay zeka teknikleriyle \u00e7al\u0131\u015fan bir vekt\u00f6r arama hatt\u0131na d\u00f6n\u00fc\u015ft\u00fcrme s\u00fcrecini ad\u0131m ad\u0131m ele alaca\u011f\u0131z.<\/p>\n

Sa\u011fl\u0131k Verilerinde Ham Metin D\u00f6n\u00fc\u015ft\u00fcrme Neden Kritik?<\/h2>\n

Sa\u011fl\u0131k verileri, genel dil modellerinin en \u00e7ok zorland\u0131\u011f\u0131 alanlar\u0131n ba\u015f\u0131nda gelir. T\u0131p dilinde yo\u011fun \u015fekilde kullan\u0131lan k\u0131saltmalar, Latince ve \u0130ngilizce terimlerin T\u00fcrk\u00e7e c\u00fcmle yap\u0131lar\u0131yla harmanlanmas\u0131 ve yaz\u0131m hatalar\u0131 standart metin i\u015fleme yakla\u015f\u0131mlar\u0131n\u0131 yetersiz k\u0131lar. Bu nedenle, ham sa\u011fl\u0131k metnini (raw health text) do\u011frudan bir dil modeline beslemek hem y\u00fcksek maliyet yarat\u0131r hem de hatal\u0131 sonu\u00e7lara (hallucination) yol a\u00e7ar.<\/p>\n

Ayr\u0131ca 6698 say\u0131l\u0131 Ki\u015fisel Verilerin Korunmas\u0131 Kanunu (KVKK) uyar\u0131nca, hasta verilerinin anonimle\u015ftirilmesi yasal bir zorunluluktur. Ham metin \u00fczerinde yap\u0131lan do\u011fru bir \u00f6n i\u015fleme a\u015famas\u0131, hassas bilgileri maskedikten sonra veriyi vekt\u00f6r alan\u0131na aktar\u0131r. B\u00f6ylece sistem, hem yasal d\u00fczenlemelere uyum sa\u011flar hem de do\u011fru bilgiye milisaniyeler i\u00e7inde ula\u015f\u0131r.<\/p>\n\n\n\n\n\n\n
Veri Durumu<\/th>\nArama Yakla\u015f\u0131m\u0131<\/th>\nEri\u015fim H\u0131z\u0131<\/th>\nDo\u011fruluk Oran\u0131<\/th>\n<\/tr>\n<\/thead>\n
Ham Metin (Unstructured)<\/td>\nSQL \/ Kelime Bazl\u0131 (BM25)<\/td>\nYava\u015f (Saniyeler)<\/td>\nD\u00fc\u015f\u00fck (E\u015f anlaml\u0131lar\u0131 ka\u00e7\u0131r\u0131r)<\/td>\n<\/tr>\n
\u0130\u015flenmi\u015f Vekt\u00f6r Verisi<\/td>\nSemantik Vekt\u00f6r Aramas\u0131<\/td>\n\u00c7ok H\u0131zl\u0131 (Milisaniyeler)<\/td>\nY\u00fcksek (Ba\u011flam\u0131 anlar)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Sa\u011fl\u0131k Metinlerini Haz\u0131rlama: Temel Ad\u0131mlar Nas\u0131l At\u0131l\u0131r?<\/h2>\n

Metin d\u00f6n\u00fc\u015ft\u00fcrme s\u00fcrecinin ilk a\u015famas\u0131, ham veriyi temizlemek ve anlamsal b\u00fct\u00fcnl\u00fc\u011f\u00fc bozmadan k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6lmektir (chunking). Sa\u011fl\u0131k metinlerinde rastgele bir noktadan metni b\u00f6lmek, t\u0131bbi ba\u011flam\u0131 koparabilir. \u00d6rne\u011fin, bir ilac\u0131n dozaj bilgisi ile yan etki bilgisi ayn\u0131 par\u00e7ada kalmal\u0131d\u0131r.<\/p>\n

\u0130lk olarak metindeki hasta ad\u0131, TC kimlik numaras\u0131 ve tarih gibi ki\u015fisel veriler maskelenir. Bu i\u015flem i\u00e7in kural tabanl\u0131 d\u00fczenli ifadeler (regex) veya t\u0131bbi varl\u0131k tan\u0131ma (Named Entity Recognition – NER) modelleri tercih edilir. Ard\u0131ndan, metin par\u00e7alama i\u015flemine ge\u00e7ilir. Par\u00e7alama yaparken RecursiveCharacterTextSplitter<\/code> benzeri yap\u0131lar kullanarak paragraf ve c\u00fcmle s\u0131n\u0131rlar\u0131na \u00f6ncelik tan\u0131mak gerekir.<\/p>\n

1. Ki\u015fisel Verileri Maskeleme (Anonimle\u015ftirme)<\/h3>\n

\u00d6rne\u011fin, metinde ge\u00e7en “Ahmet Y\u0131lmaz adl\u0131 hastaya 01\/02\/2024 tarihinde Parasetamol yaz\u0131ld\u0131” ifadesi, [HASTA_ADI] adl\u0131 hastaya [TAR\u0130H] tarihinde Parasetamol yaz\u0131ld\u0131<\/code> \u015fekline d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr. Bu sayede veri g\u00fcvenli\u011fi \u00fcst seviyeye \u00e7\u0131kar\u0131l\u0131r.<\/p>\n

2. Ba\u011flam Odakl\u0131 Metin Par\u00e7alama (Chunking)<\/h3>\n

Sa\u011fl\u0131k metinlerinde ideal par\u00e7a boyutu (chunk size) genellikle 300 ile 500 karakter aras\u0131nda de\u011fi\u015fir. Bunun yan\u0131 s\u0131ra, par\u00e7alar aras\u0131nda %10 ile %15 oran\u0131nda \u00f6rt\u00fc\u015fme (overlap) b\u0131rakmak, anlamsal kopukluklar\u0131n \u00f6n\u00fcne ge\u00e7er.<\/p>\n

Vekt\u00f6r Veritaban\u0131 ve Embedding Se\u00e7imi Nas\u0131l Yap\u0131l\u0131r?<\/h2>\n

Metin par\u00e7alar\u0131 haz\u0131rland\u0131ktan sonra, bu metinlerin anlamsal kar\u015f\u0131l\u0131klar\u0131n\u0131 say\u0131sal dizilere, yani vekt\u00f6rlere (embeddings) d\u00f6n\u00fc\u015ft\u00fcrmek gerekir. Genel kullan\u0131m i\u00e7in geli\u015ftirilmi\u015f embedding modelleri, t\u0131bbi kavramlar aras\u0131ndaki ili\u015fkileri g\u00f6zden ka\u00e7\u0131rabilir. Bu nedenle T\u00fcrk\u00e7e sa\u011fl\u0131k metinlerinde ya \u00e7ok dilli (multilingual) g\u00fc\u00e7l\u00fc modeller ya da t\u0131p alan\u0131nda \u00f6zel olarak e\u011fitilmi\u015f d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc (transformer) modeller tercih edilmelidir.<\/p>\n

Olu\u015fturulan vekt\u00f6rler, arama performans\u0131n\u0131 art\u0131rmak i\u00e7in bir vekt\u00f6r veritaban\u0131na (Vector Database) kaydedilir. G\u00fcn\u00fcm\u00fczde ChromaDB, Qdrant ve Milvus gibi \u00e7\u00f6z\u00fcmler bu s\u00fcre\u00e7te s\u0131k\u00e7a kullan\u0131l\u0131r. Bu veritabanlar\u0131, cosine similarity (kosin\u00fcs benzerli\u011fi) veya Euclidean distance (\u00d6klid mesafesi) y\u00f6ntemlerini kullanarak sorgu metnine en yak\u0131n sa\u011fl\u0131k kay\u0131tlar\u0131n\u0131 saniyeler i\u00e7inde bulur.<\/p>\n

Uygulamal\u0131 \u00d6rnek: Python ile Bilgi Getirim Hatt\u0131 Nas\u0131l Kodlan\u0131r?<\/h2>\n

A\u015fa\u011f\u0131daki Python \u00f6rne\u011finde, ham bir sa\u011fl\u0131k metninin nas\u0131l i\u015flendi\u011fini, vekt\u00f6r veritaban\u0131na aktar\u0131ld\u0131\u011f\u0131n\u0131 ve bilgi getirim hatt\u0131n\u0131n (retrieval pipeline) nas\u0131l sorguland\u0131\u011f\u0131n\u0131 ad\u0131m ad\u0131m g\u00f6rebilirsiniz.<\/p>\n

\n
from langchain_text_splitters import RecursiveCharacterTextSplitter\nfrom langchain_community.vectorstores import Chroma\nfrom langchain_community.embeddings import HuggingFaceEmbeddings\n\n# 1. Ham Sa\u011fl\u0131k Metni (\u00d6rnek Epikriz Notu)\nham_saglik_metni = \"\"\"\nHasta 45 ya\u015f\u0131nda erkek. \u015eiddetli g\u00f6\u011f\u00fcs a\u011fr\u0131s\u0131 ve nefes darl\u0131\u011f\u0131 \u015fikayetiyle acil servise ba\u015fvurdu.\nYap\u0131lan EKG incelemesinde ST elevasyonu saptand\u0131. Troponin T seviyesi y\u00fcksek \u00e7\u0131kt\u0131 (1.2 ng\/mL).\nHastaya acil koroner anjiyografi yap\u0131ld\u0131 ve sol \u00f6n inen artere (LAD) stent tak\u0131ld\u0131.\nTaburculuk sonras\u0131 Klopidogrel ve Asetilsalisilik asit tedavisi planland\u0131.\n\"\"\"\n\n# 2. Metin Par\u00e7alama (Chunking)\ntext_splitter = RecursiveCharacterTextSplitter(\n    chunk_size=200,\n    chunk_overlap=30,\n    separators=[\"\\n\\n\", \"\\n\", \".\", \" \"]\n)\nparcalar = text_splitter.split_text(ham_saglik_metni)\n\n# 3. Embedding Modelinin Y\u00fcklenmesi\nembedding_model = HuggingFaceEmbeddings(\n    model_name=\"sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\"\n)\n\n# 4. Vekt\u00f6r Veritaban\u0131na Kay\u0131t (ChromaDB)\nvector_db = Chroma.from_texts(\n    texts=parcalar,\n    embedding=embedding_model,\n    collection_name=\"saglik_raporlari\"\n)\n\n# 5. Bilgi Getirimi (Retrieval) Sorgusu\nsorgu = \"Hastaya hangi damar m\u00fcdahalesi yap\u0131ld\u0131 ve ne tak\u0131ld\u0131?\"\nbenzer_sonuclar = vector_db.similarity_search(sorgu, k=2)\n\nprint(\"--- Bulunan \u0130lgili Sa\u011fl\u0131k Kay\u0131tlar\u0131 ---\")\nfor i, doc in enumerate(benzer_sonuclar):\n    print(f\"Sonu\u00e7 {i+1}:\\n{doc.page_content}\\n\")\n<\/code><\/pre>\n<\/div>\n
Yukar\u0131daki kod blo\u011funda g\u00f6r\u00fcld\u00fc\u011f\u00fc \u00fczere, RecursiveCharacterTextSplitter<\/code> s\u0131n\u0131f\u0131 ham metni anlamsal b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc koruyarak k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6ler. Ard\u0131ndan sentence-transformers<\/code> k\u00fct\u00fcphanesinden al\u0131nan \u00e7ok dilli model ile vekt\u00f6rler \u00fcretilir. Son olarak Chroma veritaban\u0131 \u00fczerinden yap\u0131lan sorgu, do\u011frudan stent tak\u0131lan damar bilgisini i\u00e7eren par\u00e7ay\u0131 getirir.<\/p>\n
Ger\u00e7ek D\u00fcnya Vaka Analizi: Yerel Bir Hastanenin \u0130yile\u015fme Hikayesi<\/h2>\n
Konuyu somutla\u015ft\u0131rmak ad\u0131na, T\u00fcrkiye’de faaliyet g\u00f6steren \u00f6zel bir hastane grubunun acil servis s\u00fcrecinde ya\u015fad\u0131\u011f\u0131 sorunu inceleyelim. Hastanenin acil servisine ba\u015fvuran m\u00fckerrer hastalar\u0131n ge\u00e7mi\u015f t\u0131bbi ge\u00e7mi\u015fleri, binlerce sayfal\u0131k d\u00fcz metin doktor notlar\u0131 aras\u0131nda g\u00f6m\u00fcl\u00fc durumdayd\u0131. N\u00f6bet\u00e7i doktorlar\u0131n bu metinleri okuyup hastan\u0131n alerjilerini veya ge\u00e7irdi\u011fi ameliyatlar\u0131 tespit etmesi ortalama 12 dakika s\u00fcr\u00fcyordu.<\/p>\n
Geli\u015ftirilen yerel bilgi getirim boru hatt\u0131 sayesinde, ge\u00e7mi\u015f sa\u011fl\u0131k kay\u0131tlar\u0131 ilk olarak regex<\/code> ve NER modelleri ile KVKK standartlar\u0131nda maskelendi. Ard\u0131ndan hibrit arama (hybrid search) mimarisi kuruldu. Bu mimaride hem kelime bazl\u0131 BM25 algoritmas\u0131 hem de yo\u011fun vekt\u00f6r aramas\u0131 (dense vector search) birle\u015ftirildi.<\/p>\n
Proje sonucunda doktorlar\u0131n arad\u0131klar\u0131 kriti\u011fe (\u00f6rne\u011fin “Hastan\u0131n penisilin alerjisi var m\u0131?”) yan\u0131t bulma s\u00fcresi 12 dakikadan 2.4 saniyeye geriledi. Ayr\u0131ca semantik arama sayesinde doktor “\u015eeker hastal\u0131\u011f\u0131” arad\u0131\u011f\u0131nda, sistem ge\u00e7mi\u015f notlarda ge\u00e7en “Diyabetes Mellitus” veya “HTN” ifadelerini de ba\u015far\u0131yla yakalad\u0131. Do\u011fru ba\u011flam getirme oran\u0131 %94 seviyesine ula\u015ft\u0131.<\/p>\n
Hibrit Arama ve \u0130leri D\u00fczey \u0130yile\u015ftirme Teknikleri Nelerdir?<\/h2>\n
Sadece vekt\u00f6r aramas\u0131na dayanmak, baz\u0131 t\u0131bbi durumlarda yetersiz kalabilir. \u00d6zellikle spesifik ila\u00e7 kodlar\u0131 (\u00f6rne\u011fin ICD-10<\/code> kodlar\u0131) veya nadir g\u00f6r\u00fclen t\u0131bbi terimler arand\u0131\u011f\u0131nda, geleneksel anahtar kelime aramalar\u0131 (BM25) semantik aramadan daha kesin sonu\u00e7lar verebilir. Bu nedenle ileri d\u00fczey boru hatlar\u0131nda Hibrit Arama (Hybrid Search)<\/strong> yakla\u015f\u0131m\u0131 uygulan\u0131r.<\/p>\n
Hibrit arama sistemlerinde, geleneksel arama ile vekt\u00f6r aramas\u0131ndan elde edilen sonu\u00e7lar birle\u015ftirilir. Sonras\u0131nda bu sonu\u00e7lar bir Cross-Encoder (Re-ranker)<\/strong> modeline g\u00f6nderilerek yeniden s\u0131ralan\u0131r. Yeniden s\u0131ralama a\u015famas\u0131, kullan\u0131c\u0131 sorgusu ile getirilen metin par\u00e7as\u0131 aras\u0131ndaki anlamsal uyumu daha derin bir analizle puanlar.<\/p>\n
    \n
  • A\u015fama 1 (Getirim – Retrieval):<\/strong> BM25 ve Vekt\u00f6r arama ile en alakal\u0131 20 dok\u00fcman se\u00e7ilir.<\/li>\n
  • A\u015fama 2 (Yeniden S\u0131ralama – Re-ranking):<\/strong> Cross-Encoder modeli bu 20 dok\u00fcman\u0131 sorguyla tek tek kar\u015f\u0131la\u015ft\u0131r\u0131p en do\u011fru 3 dok\u00fcman\u0131 en \u00fcste \u00e7\u0131kar\u0131r.<\/li>\n
  • A\u015fama 3 (\u00dcretim – Generation):<\/strong> Se\u00e7ilen 3 dok\u00fcman b\u00fcy\u00fck dil modeline (LLM) ba\u011flam olarak sunulur.<\/li>\n<\/ul>\n
    Bu y\u00f6ntem, yanl\u0131\u015f t\u0131bbi tavsiye veya hatal\u0131 veri getirme riskini minimuma indirerek sistemin g\u00fcvenilirli\u011fini belirgin \u015fekilde art\u0131r\u0131r.<\/p>\n
    Sa\u011fl\u0131k Sistemlerinde S\u0131k\u00e7a Sorulan Sorular<\/h2>\n
    1. KVKK uyumlulu\u011fu i\u00e7in ham veride neye dikkat edilmeli?<\/h3>\n
    Ham metin vekt\u00f6r veritaban\u0131na aktar\u0131lmadan \u00f6nce hasta ad\u0131, soyad\u0131, T.C. Kimlik Numaras\u0131, telefon ve adres gibi ki\u015fisel verilerin (PII) anonimle\u015ftirilmesi veya maskelenmesi gerekir. Vekt\u00f6rlerin kendisi geri d\u00f6n\u00fc\u015ft\u00fcr\u00fclemez g\u00f6r\u00fcnse de veritaban\u0131nda tutulan metin par\u00e7alar\u0131 risk olu\u015fturabilir.<\/p>\n
    2. T\u00fcrk\u00e7e medikal terimler i\u00e7in en iyi embedding modeli hangisidir?<\/h3>\n
    \u00c7ok dilli (multilingual) ve y\u00fcksek boyutlu modeller (\u00f6rne\u011fin BGE-M3 veya OpenAI text-embedding-3<\/code> serisi) T\u00fcrk\u00e7e sa\u011fl\u0131k metinlerinde olduk\u00e7a ba\u015far\u0131l\u0131d\u0131r. Tamamen yerel \u00e7\u00f6z\u00fcm arayanlar i\u00e7in HuggingFace \u00fczerindeki \u00e7ok dilli transformer modelleri ince ayar (fine-tuning) yap\u0131larak kullan\u0131labilir.<\/p>\n
    3. Vekt\u00f6r arama neden geleneksel SQL aramas\u0131ndan daha iyidir?<\/h3>\n
    SQL veri taban\u0131ndaki LIKE<\/code> sorgular\u0131 sadece birebir e\u015fle\u015fen kelimeleri bulur. Vekt\u00f6r aramas\u0131 ise anlamsal benzerli\u011fe bakar. \u00d6rne\u011fin kullan\u0131c\u0131 “ba\u015f d\u00f6nmesi” arad\u0131\u011f\u0131nda, vekt\u00f6r aramas\u0131 metin i\u00e7inde ge\u00e7en “vertigo” ifadesini de tespit edebilir.<\/p>\n
    4. K\u00fc\u00e7\u00fck t\u0131p merkezleri i\u00e7in bu sistem \u00e7ok mu maliyetlidir?<\/h3>\n
    Hay\u0131r, a\u00e7\u0131k kaynak kodlu ara\u00e7lar (ChromaDB, Python, LangChain, HuggingFace) sayesinde sunucu altyap\u0131s\u0131 d\u0131\u015f\u0131nda ek bir lisans maliyeti \u00f6demeden tamamen yerel (on-premise) \u00e7al\u0131\u015fan bir bilgi getirim hatt\u0131 kurmak m\u00fcmk\u00fcnd\u00fcr.<\/p>\n
    #SaglikTeknolojileri #YapayZeka #Python #BilgiGetirimi #NLP<\/p>\n","protected":false},"excerpt":{"rendered":"Ham sa\u011fl\u0131k verilerini i\u015fleyip \u00e7al\u0131\u015fan bir bilgi getirimi (retrieval pipeline) sistemine d\u00f6n\u00fc\u015ft\u00fcrme ad\u0131mlar\u0131n\u0131 kod \u00f6rnekleriyle ke\u015ffedin.","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-43569","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nHam Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/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:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma\" \/>\n<meta property=\"og:description\" content=\"Ham sa\u011fl\u0131k verilerini i\u015fleyip \u00e7al\u0131\u015fan bir bilgi getirimi (retrieval pipeline) sistemine d\u00f6n\u00fc\u015ft\u00fcrme ad\u0131mlar\u0131n\u0131 kod \u00f6rnekleriyle ke\u015ffedin.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-23T18:12:57+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma\",\"datePublished\":\"2026-07-23T18:12:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\"},\"wordCount\":1533,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#respond\"]}],\"copyrightYear\":\"2026\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\",\"name\":\"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma - Kodlar\u0131n Gizemli D\u00fcnyas\u0131\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2026-07-23T18:12:57+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim\",\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\",\"name\":\"Fatih Soysal\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"contentUrl\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"width\":512,\"height\":512,\"caption\":\"Fatih Soysal\"},\"logo\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\"},\"description\":\"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma - Kodlar\u0131n Gizemli D\u00fcnyas\u0131","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:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/","og_locale":"tr_TR","og_type":"article","og_title":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma","og_description":"Ham sa\u011fl\u0131k verilerini i\u015fleyip \u00e7al\u0131\u015fan bir bilgi getirimi (retrieval pipeline) sistemine d\u00f6n\u00fc\u015ft\u00fcrme ad\u0131mlar\u0131n\u0131 kod \u00f6rnekleriyle ke\u015ffedin.","og_url":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/","og_site_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","article_published_time":"2026-07-23T18:12:57+00:00","author":"Fatih Soysal","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Fatih Soysal","Tahmini okuma s\u00fcresi":"9 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#article","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/"},"author":{"name":"Fatih Soysal","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"headline":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma","datePublished":"2026-07-23T18:12:57+00:00","mainEntityOfPage":{"@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/"},"wordCount":1533,"commentCount":0,"publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"inLanguage":"tr","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#respond"]}],"copyrightYear":"2026","copyrightHolder":{"@id":"https:\/\/fatihsoysal.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/","url":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/","name":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma - Kodlar\u0131n Gizemli D\u00fcnyas\u0131","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/#website"},"datePublished":"2026-07-23T18:12:57+00:00","breadcrumb":{"@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/fatihsoysal.com\/blog\/ham-saglik-metninden-bilgi-getirim-hatti-kurma\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/fatihsoysal.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Ham Sa\u011fl\u0131k Metninden Bilgi Getirim Hatt\u0131 Kurma"}]},{"@type":"WebSite","@id":"https:\/\/fatihsoysal.com\/blog\/#website","url":"https:\/\/fatihsoysal.com\/blog\/","name":"Fatihsoysal.com","description":"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim","publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":["Person","Organization"],"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1","name":"Fatih Soysal","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","contentUrl":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","width":512,"height":512,"caption":"Fatih Soysal"},"logo":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/"},"description":"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.","url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/"}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/43569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/comments?post=43569"}],"version-history":[{"count":0,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/43569\/revisions"}],"wp:attachment":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/media?parent=43569"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/categories?post=43569"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/tags?post=43569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}