Knowledge Graph Query Optimization for Retrieval Augmented Generation
Topics: Brand Context, Entity based search, Graph RAG, Knowledge Graph, LLMO / GEO, Microsoft, Retrieval Augmented Generation (RAG)
This Microsoft patent describes a system that improves how AI chatbots retrieve and use information to answer user questions. Instead of relying on standard web search results that often return too much or too little information, the system uses a knowledge graph, a structured database of connected entities and their relationships, combined with two AI language models to retrieve only the most relevant data and generate accurate, context-aware responses. The first AI model creates a precise query to pull the right data from the knowledge graph, and the second AI model uses that data to write the final response to the user.
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