In the first three parts of this series, What Is RAG? From PostgreSQL pgrag to Distributed RAG with YugabyteDB pg_dist_rag, we progressively […]
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ybhnsw Can Index Wider Vectors Than PostgreSQL pgvector HNSW
When working with vector search, dimension limits matter. Many embedding models fit comfortably inside 768, 1,024, or 1,536 dimensions. But some use […]
Read MoreWhy HNSW Indexes Are So Fast in YugabyteDB
Vector search gets expensive fast. Without an index, every query has to compare your search embedding against every row in the table. […]
Read MoreAI Search on YugabyteDB with Native pgvector Integration + GCP
🌍 The Problem: Search is Still… Dumb Most application search still relies on: ● LIKE ‘%term%’ ● exact keyword matching ● brittle […]
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