{"id":13486481,"url":"https://github.com/microsoft/graphrag","last_synced_at":"2025-05-12T18:32:35.769Z","repository":{"id":246954441,"uuid":"778431525","full_name":"microsoft/graphrag","owner":"microsoft","description":"A modular graph-based Retrieval-Augmented Generation (RAG) system","archived":false,"fork":false,"pushed_at":"2025-04-30T21:12:55.000Z","size":192163,"stargazers_count":24895,"open_issues_count":187,"forks_count":2506,"subscribers_count":168,"default_branch":"main","last_synced_at":"2025-04-30T21:33:57.377Z","etag":null,"topics":["gpt","gpt-4","gpt4","graphrag","llm","llms","rag"],"latest_commit_sha":null,"homepage":"https://microsoft.github.io/graphrag/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/microsoft.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":"SECURITY.md","support":"SUPPORT.md","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-03-27T17:57:52.000Z","updated_at":"2025-04-30T21:03:10.000Z","dependencies_parsed_at":"2024-07-06T01:05:24.618Z","dependency_job_id":"3dd695ba-2732-4985-8f93-9d86c14abc5d","html_url":"https://github.com/microsoft/graphrag","commit_stats":{"total_commits":295,"total_committers":47,"mean_commits":6.276595744680851,"dds":0.6338983050847458,"last_synced_commit":"f000309829e2c1c0afc99c5b6ce001b6fbf75883"},"previous_names":["microsoft/graphrag"],"tags_count":22,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fgraphrag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fgraphrag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fgraphrag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fgraphrag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/microsoft","download_url":"https://codeload.github.com/microsoft/graphrag/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252525179,"owners_count":21762242,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["gpt","gpt-4","gpt4","graphrag","llm","llms","rag"],"created_at":"2024-07-31T18:00:46.959Z","updated_at":"2025-05-05T15:42:13.037Z","avatar_url":"https://github.com/microsoft.png","language":"Python","readme":"# GraphRAG\n\n👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator) \u003cbr/\u003e\n👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)\u003cbr/\u003e\n👉 [Read the docs](https://microsoft.github.io/graphrag)\u003cbr/\u003e\n👉 [GraphRAG Arxiv](https://arxiv.org/pdf/2404.16130)\n\n\u003cdiv align=\"left\"\u003e\n  \u003ca href=\"https://pypi.org/project/graphrag/\"\u003e\n    \u003cimg alt=\"PyPI - Version\" src=\"https://img.shields.io/pypi/v/graphrag\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://pypi.org/project/graphrag/\"\u003e\n    \u003cimg alt=\"PyPI - Downloads\" src=\"https://img.shields.io/pypi/dm/graphrag\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/microsoft/graphrag/issues\"\u003e\n    \u003cimg alt=\"GitHub Issues\" src=\"https://img.shields.io/github/issues/microsoft/graphrag\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/microsoft/graphrag/discussions\"\u003e\n    \u003cimg alt=\"GitHub Discussions\" src=\"https://img.shields.io/github/discussions/microsoft/graphrag\"\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n\n## Overview\n\nThe GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.\n\nTo learn more about GraphRAG and how it can be used to enhance your LLM's ability to reason about your private data, please visit the \u003ca href=\"https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/\" target=\"_blank\"\u003eMicrosoft Research Blog Post.\u003c/a\u003e\n\n## Quickstart\n\nTo get started with the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources.\n\n## Repository Guidance\n\nThis repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offering.\n\n⚠️ *Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.*\n\n## Diving Deeper\n\n- To learn about our contribution guidelines, see [CONTRIBUTING.md](./CONTRIBUTING.md)\n- To start developing _GraphRAG_, see [DEVELOPING.md](./DEVELOPING.md)\n- Join the conversation and provide feedback in the [GitHub Discussions tab!](https://github.com/microsoft/graphrag/discussions)\n\n## Prompt Tuning\n\nUsing _GraphRAG_ with your data out of the box may not yield the best possible results.\nWe strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/prompt_tuning/overview/) in our documentation.\n\n## Versioning\n\nPlease see the [breaking changes](./breaking-changes.md) document for notes on our approach to versioning the project.\n\n*Always run `graphrag init --root [path] --force` between minor version bumps to ensure you have the latest config format. Run the provided migration notebook between major version bumps if you want to avoid re-indexing prior datasets. Note that this will overwrite your configuration and prompts, so backup if necessary.*\n\n## Responsible AI FAQ\n\nSee [RAI_TRANSPARENCY.md](./RAI_TRANSPARENCY.md)\n\n- [What is GraphRAG?](./RAI_TRANSPARENCY.md#what-is-graphrag)\n- [What can GraphRAG do?](./RAI_TRANSPARENCY.md#what-can-graphrag-do)\n- [What are GraphRAG’s intended use(s)?](./RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses)\n- [How was GraphRAG evaluated? What metrics are used to measure performance?](./RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance)\n- [What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?](./RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system)\n- [What operational factors and settings allow for effective and responsible use of GraphRAG?](./RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag)\n\n## Trademarks\n\nThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft\ntrademarks or logos is subject to and must follow\n[Microsoft's Trademark \u0026 Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).\nUse of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.\nAny use of third-party trademarks or logos are subject to those third-party's policies.\n\n## Privacy\n\n[Microsoft Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement)\n","funding_links":[],"categories":["Tools","GraphRAG Infrastructure","Python","others","Software","A01_文本生成_文本对话","Tools \u0026 Frameworks","Azure Cognitive Search \u0026 OpenAI","🔬 Innovative Approaches","largemodel","知识库 RAG","RAG","Industry Strength Information Retrieval","2024.11","Repos","语言资源库","🎯 Approaches","LLMs and ChatGPT","GraphRAG","Knowledge Graphs and Memory","LLM Application / RAG","Open Source Tools","Orchestration"],"sub_categories":["Libraries","RAG","大语言对话模型及数据","Development Frameworks","[Chat-with-your-Docs](https://github.com/mayooear/ai-pdf-chatbot-langchain)","LazyGraphRAG【精算师】","python","Agent Tutorials","Retrieval-Augmented Generation","Benchmark Reality Check (real-world tool use)"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fgraphrag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicrosoft%2Fgraphrag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2Fgraphrag/lists"}