graphrag and graphrag-api
The first is the core GraphRAG framework that processes documents into knowledge graphs for retrieval, while the second is a lightweight API wrapper that exposes GraphRAG's functionality as a server—making them complements designed to work together.
About graphrag
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
Extracts knowledge graphs from unstructured text using LLMs, then uses those graph structures to improve retrieval and reasoning for private data. Implements a data indexing pipeline that transforms narrative documents into entity-relationship graphs, enabling more contextual and discovery-oriented query responses compared to standard vector retrieval. Supports prompt tuning workflows and integrates with major LLM providers through a configuration-driven architecture.
About graphrag-api
noworneverev/graphrag-api
GraphRAG Server
FastAPI wrapper exposing Microsoft GraphRAG's four search modes (Global, Local, DRIFT, Basic) through REST endpoints, enabling flexible querying across knowledge graphs at different abstraction levels. Operates on pre-indexed GraphRAG project directories containing output artifacts and configuration, with tunable parameters like community hierarchy depth and extraction settings. Integrates seamlessly with the GraphRAG Visualizer frontend or custom clients via standard HTTP APIs.
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