Creating a chatbot that can answer any human question is no small feat. While Retrieval Augmented Generation (RAG) is a helpful tool, it can’t do it all. Most data is stored in structured formats like relational databases, graphs, or JSON documents, which RAG struggles to utilize effectively. Join this session to learn how to overcome these challenges and build a next-gen chatbot capable of answering any question about your data .