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microsoft/graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

91views this month

36k stars3.8k forksLast push Sep 16, 2026 Python MIT

Decision brief

GraphRAG is a research-oriented modular graph-based Retrieval-Augmented Generation system designed to enhance LLM outputs with structured data extracted from unstructured text.

Good fit when

  • When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
  • For research purposes, particularly if you are interested in exploring the functional use of graphs to form targeted context for question answering.

Avoid when

  • If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode.
  • When cost is a significant concern, as GraphRAG indexing can be an expensive operation.
Pricing:
freemium - Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations.
Requirements:
Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (1d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No lockfile
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Microsoft. Display-only - separate from trust and ranking.

Company
Microsoft·GitHub org profile·Jul 11, 2026
Employees
221,000·Wikidata (P1128 employees)·Jul 11, 2026
Commercial model
Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install graphrag
PyPI

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Evidence and technical details

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Overview

GraphRAG is a research project that explores the use of graphs to form targeted context for question answering, enhancing LLM outputs with structured data extracted from unstructured text.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

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README

GraphRAG [!WARNING] GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering. Since our first release in July 2024 the capabilities of frontier models have changed dramatically, and our portfolio of research proje...

For agents

This page has a .md twin and JSON over the API.

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