They require capacity, backup, isolation, authorization and performance engineering like any production datastore.
RAG ARCHITECTUREENTERPRISE AI ARCHITECTURE
Vector Store Architecture
Vector stores hold embeddings and metadata needed for semantic retrieval.
A multi-tenant vector service uses namespace and metadata authorization plus encryption and restore testing.
Is access control enforced before sensitive chunks reach the model?
REMEMBERA vector database is a production data system, not a disposable AI accessory.
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