graphrag
A modular Retrieval-Augmented Generation system from Microsoft that uses graphs to build context for question answering. The README describes it as a research project.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
Share on XLicense: MIT
Overview
GraphRAG is a modular graph-based Retrieval-Augmented Generation system from Microsoft. It is a data pipeline and transformation suite that uses LLMs to pull structured data out of unstructured text, then uses graphs to build a focused context for question answering. The README calls it a research project. It is largely in maintenance mode, with no new features or pull requests, only bug fixes and dependency updates.
Key features
- Extracts structured data from unstructured text using LLMs
- Builds graphs to form targeted context for question answering
- Modular pipeline and transformation suite
- Documentation and an arXiv paper are available
Best for
Researchers and developers who want to study how graphs can improve LLM answers over private text. Expect no new features, since the project is in maintenance mode.
- Upstream
- microsoft/graphrag
- Fork on GitHub
- Guo-astro/graphrag
- Upstream stars
- 37k
- Category
- AI agents and LLM tools
- License
- MIT
- Forked
- 2025-07-15
- Sync status
- Behind upstream
More in AI agents and LLM tools
/last30days is an AI-agent skill for researching recent discussions across social platforms, video, news, markets, and the web. It brings scattered signals together in a synthesized brief for trend research and preparation.
Forked 2026-10-22Last synced 2026-11-09License: MITAI agents and LLM toolsGitHub
A portable C99 inference engine for running Kimi K3 on a CPU without a GPU or machine-learning framework. It streams the large checkpoint from disk to support inference with limited RAM, for batch text generation or text chat.
Forked 2026-10-21Last synced 2026-11-09License: Apache-2.0AI agents and LLM toolsGitHub
LayerFS gives AI agents writable workspaces over shared history, so they can work in parallel without copying the base. Use it to checkpoint, branch, rewind, and merge agent changes.
Forked 2026-10-21Last synced 2026-11-09License: MITAI agents and LLM toolsGitHub
Magnitude runs open models locally and tunes kernels for your hardware. Use it to connect local models to supported agents or an OpenAI-compatible client.
Forked 2026-10-19Last synced 2026-11-09License: Apache-2.0AI agents and LLM toolsGitHub