{"version":"1.0","provider_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","provider_url":"https:\/\/fatihsoysal.com\/blog","author_name":"Fatih Soysal","author_url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/","title":"Amazon Bedrock ve RAG Projelerinde Faydalar\u0131","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"m4pDLp5Pen\"><a href=\"https:\/\/fatihsoysal.com\/blog\/amazon-bedrock-ve-rag-projelerinde-faydalari\/\">Amazon Bedrock ve RAG Projelerinde Faydalar\u0131<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/fatihsoysal.com\/blog\/amazon-bedrock-ve-rag-projelerinde-faydalari\/embed\/#?secret=m4pDLp5Pen\" width=\"600\" height=\"338\" title=\"&#8220;Amazon Bedrock ve RAG Projelerinde Faydalar\u0131&#8221; &#8212; Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" data-secret=\"m4pDLp5Pen\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","description":"Son y\u0131llarda h\u0131zla geli\u015fen B\u00fcy\u00fck Dil Modelleri (LLM'ler), bir\u00e7ok alanda devrim yaratt\u0131. Bunlardan biri de, veri tabanlar\u0131ndan bilgi \u00e7ekerek daha zengin ve do\u011fru yan\u0131tlar \u00fcreten RAG (Retrieval Augmented Generation) sistemleridir. Amazon Bedrock, bu alanda geli\u015ftiriciler i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7 sunuyor. \u00d6ncelikle, RAG'in ne oldu\u011funu ve neden \u00f6nemli oldu\u011funu a\u00e7\u0131klayal\u0131m. K\u0131saca, RAG, LLM'lerin bilgiyi sadece \u00f6nceden e\u011fitildi\u011fi verilerle s\u0131n\u0131rland\u0131rmamas\u0131 ve harici veritabanlar\u0131na eri\u015ferek daha g\u00fcncel ve spesifik bilgi sa\u011flayabilmesini m\u00fcmk\u00fcn k\u0131lar. Bu sayede, daha do\u011fru ve bilgilendirici yan\u0131tlar elde edilir."}