AI Drift In Retrieval Augmented Generation — AND — How To Control It! – Towards AI

The article discusses the issue of AI drift in retrieval augmented generation (RAG) pipelines. The author describes a case where a customer noticed a deterioration in AI responses over time and goes on to explain the sources of AI drift in RAG, including drifts in content, LLM, and RAG pipeline algorithms. The author also provides tips on how to control content drift, LLM drift, and RAG pipeline drift. The conclusion emphasizes the importance of monitoring the stability and resiliency metrics of the RAG pipeline to address the issue of AI drift.

source update: AI Drift In Retrieval Augmented Generation — AND — How To Control It! – Towards AI

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