mosh98/RAG_With_Models

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

Everything you need to know to build your own RAG application

the resources about the application based on LLM with RAG pattern

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

本仓库囊括了 RAG 中各技术点的学习案例。包括各种调优方法示例：chunk / query enhancement / retrieval / rerank / compression； 可靠性增强：相关性过滤、groundedness 检查、证据高亮；高级架构：RAPTOR / GraphRAG / Self-RAG / CRAG / MemoRAG 等。

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

A collection of some RAG tutorials where i share what i learned in my own way.