Your question is RAG with LangChain and Vector DBs. 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).
Describe your experience with Retrieval-Augmented Generation (RAG), LangChain, and vector databases such as pgvector and Pinecone for Mistral AI use cases. Discuss how you would build the ingestion and query paths, select embedding and retrieval strategies, connect LangChain to Mistral models, and choose between pgvector and Pinecone. Include practical considerations such as chunking, metadata filtering, latency, evaluation, and prompt injection. Keep the discussion focused on production-oriented Python services using current Mistral AI and LangChain integrations.