Controllable Agent for Complex RAG tasks

Many companies and businesses today seek the ability to interact with their data using Retrieval-Augmented Generation (RAG) solutions. However, what happens when the questions you ask your data are non-trivial, and simple retrieval based on semantic similarity isn't sufficient? In this lecture, we will discuss a tailored, controllable RAG agent capable of handling such complex questions.