Microsoft GraphRAG Skill

Expert assistance for using Microsoft GraphRAG, a modular graph-based Retrieval-Augmented Generation system that extracts structured knowledge from unstructured text to enhance LLM reasoning over private data.

When to Use This Skill

This skill should be used when:

• Building RAG systems that need to "connect the dots" across dispersed information
• Querying large document collections holistically
• Extracting structured knowledge graphs from unstructured text
• Implementing graph-based retrieval for LLM applications
• Processing private datasets with enhanced reasoning capabilities
• Working with narrative, unstructured documents
• Building question-answering systems over document corpora
• Extracting entities, relationships, and claims from text
• Creating hierarchical knowledge summaries
• Implementing multi-hop reasoning over documents
• Comparing GraphRAG with traditional vector-based RAG
• Tuning prompts for domain-specific datasets