Vector Databases and Embedding Strategy

Vector database selection is an ops and data modeling decision disguised as a library choice. Most teams over-engineer it — adding a dedicated vector store before pgvector shows any strain. But most teams also under-plan for embedding model migrations, which silently corrupt retrieval quality when they mix vector spaces. Getting both decisions right is what separates a maintainable RAG stack from one that degrades without anyone knowing why.

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