Business · GitHub ·183 ★

UltimateRAG

一个按路线图逐步实现的 RAG 学习项目:从 Naive RAG → Advanced RAG → Agentic RAG → GraphRAG & Fine-tuning → RAGOps,在本地用 LangChain + 向量库把“文档问答”跑通,并逐步加入语义分块、混合检索、重排序、路由、自反思与工具调用等能力。 从最简单的 Demo 进化到企业级、甚至科研级的 RAG 系统。

Details

Author
leonyangdev
Category
Business
Platform
GitHub
Framework
langchain
Language
python
Stars
183
First indexed
2026-05-15
Last active
2026-01-13
Directory sync
2026-05-15

Overview

一个按路线图逐步实现的 RAG 学习项目:从 Naive RAG → Advanced RAG → Agentic RAG → GraphRAG & Fine-tuning → RAGOps,在本地用 LangChain + 向量库把“文档问答”跑通,并逐步加入语义分块、混合检索、重排序、路由、自反思与工具调用等能力。 从最简单的 Demo 进化到企业级、甚至科研级的 RAG 系统。

Quick start

git

git clone https://github.com/leonyangdev/UltimateRAG

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What UltimateRAG can do

  • Fine Tun — fine-tun task automation.
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is UltimateRAG?
一个按路线图逐步实现的 RAG 学习项目:从 Naive RAG → Advanced RAG → Agentic RAG → GraphRAG & Fine-tuning → RAGOps,在本地用 LangChain + 向量库把“文档问答”跑通,并逐步加入语义分块、混合检索、重排序、路由、自反思与工具调用等能力。 从最简单的 Demo 进化到企业级、甚至科研级的 RAG 系统。
How do I install UltimateRAG?
Use git: `git clone https://github.com/leonyangdev/UltimateRAG`. Full setup details on the source page linked above.
Is UltimateRAG open source?
UltimateRAG is published on GitHub.
What are alternatives to UltimateRAG?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for UltimateRAG is sourced from GitHub, published by leonyangdev.

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