Knowledge graphs represent entities and relationships as structured, queryable data. Posts cover BigQuery-based knowledge graph construction, entity resolution patterns, GraphRAG integration, and how knowledge graphs improve retrieval accuracy in RAG-powered AI systems.
2 posts tagged with knowledge graph. ← All posts
Vector search treats every chunk as independent. GraphRAG models the relationships between entities, communities, and concepts. For corpus-spanning questions ("what's the relationship between X and Y"), graph wins.
BigQuery has had a built-in knowledge graph since 2024. For entity resolution across millions of rows — the "is this John Smith the same as that John Smith" problem — it's the cheapest tool I've found.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.