What is this?
GraphRAG is Microsoft's data pipeline that extracts structured knowledge from your unstructured text documents using LLMs, builds a knowledge graph from it, and uses that graph as targeted context so an LLM can answer questions about your private data more accurately.
GraphRAG is Microsoft's data pipeline that extracts structured knowledge from your unstructured text documents using LLMs, builds a knowledge graph from it, and uses that graph as targeted context so an LLM can answer questions about your private data more accurately.Is this a ready-made chatbot app, or something I run against my own documents?It's a command-line data pipeline and transformation suite, not an app with a UI: you point it at your own text, it indexes it into a graph, and you query that index afterward.
It's a command-line data pipeline and transformation suite, not an app with a UI: you point it at your own text, it indexes it into a graph, and you query that index afterward.How do I get started with it?The maintainers recommend following the command-line quickstart in the docs, which walks through installing the package and running the indexing/query commands.
The maintainers recommend following the command-line quickstart in the docs, which walks through installing the package and running the indexing/query commands.Do I need an LLM provider to run it?Yes, the pipeline depends on an LLM (the repo's topics reference GPT/GPT-4) to do the extraction and querying, plus a Python environment to run the CLI.
Yes, the pipeline depends on an LLM (the repo's topics reference GPT/GPT-4) to do the extraction and querying, plus a Python environment to run the CLI.Is this actively being developed, and is indexing cheap?No on both counts: the project is now in maintenance mode, so Microsoft is only shipping bug fixes and CVE patches rather than new features or PRs, and it also warns that graph indexing can be an expensive operation you should approach carefully and start small with.
No on both counts: the project is now in maintenance mode, so Microsoft is only shipping bug fixes and CVE patches rather than new features or PRs, and it also warns that graph indexing can be an expensive operation you should approach carefully and start small with.Is this an officially supported Microsoft product?No - the README explicitly calls it a research methodology demonstration, not an officially supported Microsoft offering.
No - the README explicitly calls it a research methodology demonstration, not an officially supported Microsoft offering.Do I need to tune anything to get good answers?Yes, the maintainers strongly recommend following the Prompt Tuning Guide in the docs, since the default prompts may not give the best results on your specific data out of the box.
Yes, the maintainers strongly recommend following the Prompt Tuning Guide in the docs, since the default prompts may not give the best results on your specific data out of the box.What do I need to do when upgrading between GraphRAG versions?Run 'graphrag init --root [path] --force' between minor version bumps to refresh the config format, and use the provided migration notebook for major version bumps to avoid having to re-index your data from scratch.
Run 'graphrag init --root [path] --force' between minor version bumps to refresh the config format, and use the provided migration notebook for major version bumps to avoid having to re-index your data from scratch.What are similar projects?LightRAG, LLMSearchRecommender, gpt4free, Hyper-Extract, kotaemon, RAG_Techniques, semantica, MSA
LightRAG, LLMSearchRecommender, gpt4free, Hyper-Extract, kotaemon, RAG_Techniques, semantica, MSAWhich topics is it in?question-answering, graphrag, gpt-4, retrieval-augmented-generation, llms, knowledge-graph, microsoft, gpt, nlp, artificial-intelligence, rag, command-line
question-answering, graphrag, gpt-4, retrieval-augmented-generation, llms, knowledge-graph, microsoft, gpt, nlp, artificial-intelligence, rag, command-line