Better Chatbots with Advanced RAG Techniques

Chatbots are becoming increasingly popular for interacting with users, providing information, entertainment, and assistance. However, building chatbots that can handle diverse and complex user queries is still a challenging task. One of the main difficulties is finding relevant and reliable information from large and noisy data sources.

In this talk, Zain Hasan explores advanced retrieval-augmented generation (RAG) techniques to build better chatbots. He covers hybrid search with vector databases, query generation using LLMs, automatically excluding irrelevant search results, re-ranking retrieved documents, and chunking techniques. The presentation demonstrates how these techniques enhance the RAG workflow and discusses challenges and future directions for chatbot development.