NirDiamant/RAG_Techniques

Summary (KO)

이 저장소는 검색 증강 생성(RAG) 시스템을 위한 다양한 고급 기술들을 보여주는 포괄적인 튜토리얼 컬렉션입니다. 25,000개 이상의 스타를 받으며, RAG의 정확성과 효율성을 향상시키기 위한 실용적인 구현 가이드와 최신 기법들을 제공합니다.

Summary (EN)

This repository showcases a comprehensive collection of advanced techniques for Retrieval-Augmented Generation (RAG) systems, combining information retrieval with generative AI. With over 25,000 stars, it provides practical implementation guides and cutting-edge methods to enhance RAG accuracy and efficiency.

Tech Stack

Highlights

• Over 40 different RAG techniques covered
• Both notebook and runnable script formats
• Active community with 25K+ stars
• Comprehensive evaluation frameworks included
• Regular updates with latest advancements

Use Cases

• Building advanced RAG systems
• Improving information retrieval accuracy
• Enhancing AI chatbots and Q&A systems
• Research and development in generative AI

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