Another application is to use the LLM to build an embeddings database, and then do semantic search only within that database. Don't just let the LLM talk about

Another application is to use the LLM to build an embeddings database, and then do semantic search only within that database. Don't just let the LLM talk about whatever it wants to hallucinate up, force it to use a set of known good answers while accepting natural language input and summarizing documents in the known good dataset.