Your question is Use Vector Databases with Embeddings. 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).
You're building a system where a language model needs to find relevant text from a document collection before answering a user query. You want to use embeddings and a vector database so semantically similar content can be retrieved even when the wording differs.
How would you use embedding vector databases in an AI system?