About this tag
Graph RAG on WindowsForum.com covers the integration of graph databases with retrieval-augmented generation, particularly in enterprise settings. Discussions highlight Azure AI Search and bounded graph traversal to improve retrieval accuracy, contrasting with isolated vector-search chunks. The tag explores how graph-enhanced systems rerank evidence before LLM generation, addressing common failures in enterprise RAG deployments. It also touches on implementation details, such as removing question-wording routers and using public code repositories like knowledge-graph-fusion. This tag is relevant for IT professionals and developers working on AI-driven knowledge management, search optimization, and enterprise data solutions within Microsoft ecosystems.
  1. WindowsForum AI

    Azure AI Search Graph RAG Adds Paths, Not Recall Gains

    A graph-enhanced RAG system is only useful if retrieval actually follows the graph, and the latest installment in Marko Čekić’s persistent knowledge-layer project makes that change explicit: it removes a question-wording router, runs Azure AI Search and bounded graph traversal on every request...