#1,258 of 5,656 by stars
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
- Stars
- 29,913
- Forks
- 3,794
- Created
- 2y ago
- Last push
- 1d ago
Momentum
- Per day
- +9
- Per 7 days
- +95
- Per 30 days
- +375
- Rank, 7 days
- -2
Stars over time
View as table
| Date | Stars |
|---|---|
| Sep 17, 2026 | 29,513 |
| Oct 5, 2026 | 29,669 |
| Oct 12, 2026 | 29,818 |
| Oct 19, 2026 | 29,913 |
Understand this repo
Open it in a tool that explains, diagrams or digests the code.
- Explain A plain-language walkthrough of what the project is and does
- Diagram An interactive architecture diagram of the codebase
- Ingest for AI The whole repository as one text digest to paste into an AI assistant
- Reverse prompt A prompt describing how to rebuild the project
These open independent third-party sites, which may be slow or unavailable for very large repositories.
Similar repositories
Ranked by how many distinctive topics they share with this one.
- 1730

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
- 4098

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- 4092

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
- 1526

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- 3671

本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
- 814

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