Your question is Vector Database Choices for RAG. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Explain the trade-offs between different vector database architectures for RAG (Retrieval-Augmented Generation) systems.
Discuss managed vector databases, vector search layered onto relational databases, search-engine hybrids, and custom distributed architectures. Cover indexing, metadata filtering, consistency, scaling, operational complexity, latency, cost, and how the choice affects retrieval quality and factual grounding.
