Data & Research · GitHub ·6,068 ★

all-in-rag

🔍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/

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Details

Author
datawhalechina
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
python
Stars
6,068
First indexed
2026-05-15
Last active
2026-03-17
Directory sync
2026-05-15
@datawhalechinadatawhale.cn

Overview

🔍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/

Quick start

git

git clone https://github.com/datawhalechina/all-in-rag

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

What all-in-rag can do

ragllmembeddingdata
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is all-in-rag?
🔍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/
How do I install all-in-rag?
Use git: `git clone https://github.com/datawhalechina/all-in-rag`. Full setup details on the source page linked above.
Is all-in-rag open source?
all-in-rag is published on GitHub.
What are alternatives to all-in-rag?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for all-in-rag is sourced from GitHub, published by datawhalechina.

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