Claude knows nothing about your internal documents, customer history, or company procedures. RAG solves this by retrieving relevant information from your own sources and giving it to Claude as context.
Your documents are split into chunks and converted to vectors. When a user asks a question, the most relevant chunks are retrieved and sent to Claude as context, and Claude formulates an answer based on that information.
When Claude answers based on documents you have provided, hallucination is dramatically reduced. Claude does not become smarter — but it gets the right information to work with. That is the difference between guessing and knowing.
Let love lead the way, and everything else will fall into place.— Florence Scovel Shinn