RAG & Knowledge Systems

Understanding Retrieval-Augmented Generation

RAG answers from retrieved passages instead of from the model alone. Quality depends on what was ingested, how it was chunked, and whether the search returns the passage a person would cite.

This note is a starting point. A published study with measurements will appear on the projects page only after the work has been completed and checked.

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