TopGit
GITHUB SNAPSHOT

datawhalechina/all-in-rag

datawhalechina/all-in-rag
DTopGit repo profile image for datawhalechina/all-in-rag
TopGit repo profile for datawhalechina/all-in-rag, with GitHub repository stats and README context.
Stars
★ 10.2k
Forks
⑂ 5.1k
Language
Python
Topic
AI Tools
License
—
Updated
13d ago
Contributors
👥 11
Homepage
QUICK VERDICT

datawhalechina/all-in-rag is one of the AI-powered repositories TopGit tracks, currently at 10.2k stars, written primarily in Python. 🔍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/

Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.

WHY NO REVIEW YET

TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.

Snapshot

Stars★ 10.2k
Forks⑂ 5.1k
LanguagePython
TopicAI Tools
License—
HomepageView ↗

Read our review methodology ↗

Top contributors

Show top contributors
Top 21 contributors to datawhalechina/all-in-rag

Related repositories

LangChain

LangChain is a Python framework (MIT-licensed) for assembling LLM-powered apps and agents from standard components: model wrappers, prompts, retrieval, tools, and chain/graph orchestration handed off to LangGraph. It's for developers gluing together model providers and data sources, not for a single prompt-response call.

★ 143.6k
Dify

Dify is an open-source LLM app platform that packages a visual workflow/agent builder, RAG pipeline, model provider management, and app-level APIs into one self-hostable (or cloud) stack, aimed at teams who want to skip stitching those pieces together themselves.

★ 151.6k
Significant-Gravitas/AutoGPT

AutoGPT is an open-source platform for building, deploying, and running AI agents that automate complete workflows. Users can define tasks in plain English using AutoPilot or visually construct steps with the Build interface. The project offers both a managed, hosted platform that handles infrastructure and model access, and a self-hosting option where users provide their own infrastructure and API keys. AutoGPT agents are designed to automate tasks across various domains, including executive operations, sales, and engineering, and integrate with over 45 platforms like Gmail and GitHub. While its `autogpt_platform/` component is licensed under Polyform Shield, the original `classic/` agent and other parts of the project use the MIT License.

★ 186.1k
huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

★ 163.4k
FREQUENTLY ASKED

Quick answers

How active is development on datawhalechina/all-in-rag?

The most recent commit recorded on datawhalechina/all-in-rag was 12 days ago, based on the GitHub push timestamp. The repository has 5.1k forks — one of the better signals of community interest.

Is datawhalechina/all-in-rag open source?

TopGit's metadata for datawhalechina/all-in-rag does not record a license. Most public repositories on GitHub ARE open source, but the exact terms vary — verify by opening the LICENSE file directly.

What topics is datawhalechina/all-in-rag associated with?

GitHub's repository topics for datawhalechina/all-in-rag: "ai", "deepseek", "embedding", "kimi-k2", "langchain", "llama-index", "llm", "milvus", "multimodal", "neo4j", "python", "rag". TopGit's editorial category is AI Tools.

Where can I see datawhalechina/all-in-rag in action?

The project maintains a homepage at https://datawhalechina.github.io/all-in-rag/. The README tab on this page also usually contains screenshots and a quickstart.

Where do I read more about datawhalechina/all-in-rag?

This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/datawhalechina/all-in-rag is the definitive source.

Read full README in the tab above.