An intuitive and in-depth conceptual guide to the "Community" in Microsoft GraphRAG, explaining graph community detection via Leiden algorithm, hierarchical community trees (root/intermediate/leaf), query-focused community summarization, and candidate answer aggregation with TypeScript examples.
A complete implementation guide for the GraphRAG query and retrieval phase, detailing query intent parsing, multi-channel entity retrieval with Reciprocal Rank Fusion (RRF), neighbor expansion, multi-dimensional community scoring, LLM filtering, and final global answer synthesis.
An in-depth architecture guide on Microsoft GraphRAG multi-document input processing and indexing pipeline, covering multi-format ingestion (TXT/CSV/JSON/Parquet), cross-document chunking, entity resolution deduplication, standard project directory structure, and incremental update workflows.
A comprehensive engineering guide on implementing Microsoft GraphRAG with PostgreSQL and TypeScript, covering relation edge weight calculations, community detection pipelines, hierarchical community summarization, and complete PostgreSQL DDL schemas with TypeScript pseudo-code.