In this session, we will go through the world of knowledge Retrieval-Augmented Generation (knowledge RAG) to simplify and extract insights from complex policy documents.

RAG enhances comprehension by combining natural language processing with intelligent data retrieval, distilling lengthy, dense texts into clear, actionable information.

But let’s go one step further. Let’s chat to those documents and ask questions. No more control F; ask a question about the policy. We will discuss the pros and cons of this approach, enabling the audience to decide where they might take it next.

Policy documents such as HR, Health and Safety, etc. can be long and difficult to understand. With subsections and interconnected sections, they can quickly become a maze. So why not use Vector Search with a chatbot front end to talk to the human needing the answer? Well, here, we will demonstrate exactly that.

Technology: Oracle 23ai, ChatBot, Data Science