ray-project/llm-applications

Everything you need to know to build your own RAG application

🔍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/

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

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

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry