Your question is Compare RAG Retrieval Approaches. 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 retrieval layer for a RAG system and need to choose between semantic search, keyword search, and a hybrid approach. The corpus includes both natural language documents and text with exact identifiers like product names, error codes, and API fields.
How would you compare semantic search, keyword search, and hybrid search for a RAG retriever? When would you prefer each one, and how would you evaluate the choice?