Knowledge Hub: Building a Multi-Source RAG System for Real-World Knowledge
Most RAG systems are easy to demonstrate.
Put a document into a vector database, retrieve a few chunks, pass them to an LLM, and generate an answer.
The difficult part starts when the system has to an
