Boosting RAG: Making Chatbots Remember with Redis

This article dives into enhancing a Retrieval-Augmented Generation (RAG) system, showing how to enable chat-like interactions. It highlights the use of Redis for managing conversation history, allowing RAG systems to retain context, which is a significant step towards more engaging and user-friendly AI chatbots.

• •The article details implementing chat-like conversations in a RAG system.
• •It leverages Redis, an in-memory database, for storing and retrieving conversation history.
• •The architecture focuses on enhancing the user experience in RAG-based chatbots.