RAG is Dead, Context Engineering is King — with Jeff Huber of Chroma

This article from Latent Space discusses the evolving landscape of vector databases and AI search. It suggests a shift away from Retrieval-Augmented Generation (RAG) towards a focus on context engineering. The core argument likely revolves around the importance of managing and optimizing context as systems scale and data grows. The piece probably explores the practical challenges of building and maintaining AI systems, emphasizing the need for robust context management to prevent performance degradation over time. The interview with Jeff Huber of Chroma provides expert insights.

• •Context engineering is becoming more critical than RAG for building robust AI systems.
• •Managing context effectively is key to preventing performance degradation as data scales.
• •The article highlights the evolving best practices for vector databases in 2025.