Ask five AI engineers which vector database to use for your RAG system. You'll get five different answers, and they'll all start with "it depends."

It depends on your data volume. It depends on your query patterns. It depends on whether you need GDPR compliance. It depends on your team's infra maturity. It depends on your budget. It depends on whether you're doing hybrid search.

The "it depends" answer is technically correct and operationally useless. It turns an architecture decision into an unbounded research project.

I built RAG Readiness to make one specific recommendation per component — and explain why.

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