Microsoft GraphRAG

Open-source framework for automatically extracting and querying domain knowledge graphs from unstructured text for LLM RAG.

Overview

Microsoft GraphRAG provides a standardized pipeline to convert documents into structured knowledge graphs and query them with LLMs using community detection and global search techniques. It handles entity extraction, relationship mapping, and multi-hop reasoning out of the box, reducing the boilerplate typically required for GraphRAG implementations. The framework is designed for reproducibility, evaluation, and seamless integration with popular AI stacks.

Best for

• Document-heavy RAG prototypes needing automated graph construction
• Teams evaluating retrieval quality across dense vs. graph-based indexing

Trade-offs

What XeroHack pre-wires

When you pick Microsoft GraphRAG in the interview, the engine emits these files into your scaffold:

• CLI-based index builder with YML configuration
• LLM-backed query runner with global/local search toggles