The graphrag-toolkit is a collection of Python tools for building graph-enhanced Generative AI applications.
4 June 2025 Release 3.8.0 includes a separate BYOKG-RAG package, which allows users to bring their own knowledge graph and perform complex question answering over it.
28 May 2025 Release 3.7.0 includes an MCP server that dynamically generates tools and tool descriptions (one per tenant in a multi-tenant graph).
Installation instructions and requirements are detailed separately with each tool.
The lexical-graph provides a framework for automating the construction of a hierarchical lexical graph from unstructured data, and composing question-answering strategies that query this graph when answering user questions.
BYOKG-RAG is a novel approach to Knowledge Graph Question Answering (KGQA) that combines the power of Large Language Models (LLMs) with structured knowledge graphs. The system allows users to bring their own knowledge graph and perform complex question answering over it.
See CONTRIBUTING for more information.
This project is licensed under the Apache-2.0 License.