
Vector databases in production: the index and storage layer for semantic search
How to run a vector database as an index layer: ANN algorithms, filters, tenancy, operations, and when pgvector beats a dedicated store.
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How to run a vector database as an index layer: ANN algorithms, filters, tenancy, operations, and when pgvector beats a dedicated store.

A practical guide to production RAG architecture: ingestion, chunking, hybrid retrieval, reranking, evaluation, observability, security, and staged delivery for engineering teams.