Building a Conversational RAG Chatbot

Join us this week for an exciting session on Conversational Retrieval-Augmented Generation (RAG) chatbots! Learn how to build a chatbot that can remember past questions, provide context-rich answers, and leverage external knowledge sources for enhanced responses.

In this session, we’ll dive into:

1. Memory Management: Enabling chatbots to recall previous interactions.
2. Key Components: Chat history, embeddings, vector stores, and retrieval-augmented generation.
3. Implementation: Exploring chains for structured retrieval and agents for dynamic retrieval control.

Don’t miss out on learning to build a responsive, intelligent RAG chatbot that can adapt and answer in real time!