1bbce33f42
* added multi-global-query function header * ported over code for merging dataframes * added connection to global streaming api function * added function header for update context helper * implemented and incorperated update_context function * Updated to make sure 'parent' column in final_communities gets incremented for multi index. * first cut at multi_local_seach function * several minor changes and fixes * Updated multi index local search. * Cleaned up code. * fixed lambda function ruff errors * fixed more ruff errors * moved query api helpers to util file * moved index api helpers to util file * merged in code left out of conflict * changed GraphRagConfig object to support lists of vector stores * Updated with fixes for multi_local_search. * Minor updates. * Minor updates. * Updates for ruff check. * Minor updates. * removed redundant vector_store_configs arg * ruff formatting changes * semversioner * Minor fix. * spellcheck fixes * ruff * test fix for cicd errors * another test fix * added explicit typing for ci tests * added dict type check for vector_store during indexing * more ruff fixes * moved type check * Removed streaming. Added multi drift and basic searches. * Formatting changes. * Updates for pyright. * Update for ruff. * Ruff formatted. * first cut at fixing vector store typing errors * got multi local search working with new config * ruff and test fixes * added fix for embeddings type error * renamed multi index api functions * ruff * convert config model to dict[VectorStoreConfig] * modified tests to support new vector_store model * ruff fixes * changed some test setups to match new model * changed ci/cd settings files to match new structure * Fix stderror check * fixed bug in vector_store_config validation * ruff * add database_name field to vectorstoreconfig * removed print statements * small refactoring for PR comments * modified default config in test * modified vector store config unit test --------- Co-authored-by: dorbaker <dorbaker@microsoft.com> Co-authored-by: Alonso Guevara <alonsog@microsoft.com>
GraphRAG
👉 Use the GraphRAG Accelerator solution
👉 Microsoft Research Blog Post
👉 Read the docs
👉 GraphRAG Arxiv
Overview
The 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.
To 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 Microsoft Research Blog Post.
Quickstart
To get started with the GraphRAG system we recommend trying the Solution Accelerator package. This provides a user-friendly end-to-end experience with Azure resources.
Repository Guidance
This 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.
⚠️ Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.
Diving Deeper
- To learn about our contribution guidelines, see CONTRIBUTING.md
- To start developing GraphRAG, see DEVELOPING.md
- Join the conversation and provide feedback in the GitHub Discussions tab!
Prompt Tuning
Using GraphRAG with your data out of the box may not yield the best possible results. We strongly recommend to fine-tune your prompts following the Prompt Tuning Guide in our documentation.
Responsible AI FAQ
- What is GraphRAG?
- What can GraphRAG do?
- What are GraphRAG’s intended use(s)?
- How was GraphRAG evaluated? What metrics are used to measure performance?
- What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?
- What operational factors and settings allow for effective and responsible use of GraphRAG?
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.