Building Real-time RAG Systems
Learn techniques and architectures for implementing RAG systems that require very low latency and real-time data updates.
What is Real-time RAG?
Welcome to building Real-time RAG Systems! Traditional RAG systems often work with data that's updated periodically, like daily or hourly.
However, many applications need information that is fresh and dynamic. Imagine a live news feed, stock trading, or a customer support chatbot dealing with recent order changes.
A real-time RAG system aims to provide answers with very low latency, using the most up-to-the-minute data available.
Why Real-time Matters
The core motivation for real-time RAG is data freshness and responsiveness.
- Freshness: Data changes constantly. A RAG system built on stale data can provide outdated or incorrect answers, leading to poor user experience.
- Responsiveness: Users expect immediate answers. Waiting seconds for a response due to slow data retrieval or LLM generation is often unacceptable in interactive applications.
Achieving both requires rethinking how data is ingested, indexed, and retrieved.
All lessons in this course
- RAG for Code Generation and Assistance
- Building Real-time RAG Systems
- Emerging Trends and Research in RAG
- Multimodal RAG with Images and Tables