Plug & Play: Building Privacy Controls into a RAG Pipeline

Enterprise retrieval-augmented generation needs to retrieve useful information while respecting who is allowed to see it. This technical deep dive examines a representative RAG pipeline through the lens of permission-aware retrieval, sensitive-data handling, retention, and answer evaluation. Explore how metadata and access rules affect the context supplied to a model, and how to test for unintended disclosure through retrieved content or generated responses. Attendees will gain implementation questions for connecting privacy requirements with retrieval and evaluation decisions.

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