Glossary

RAG (Retrieval-Augmented Generation)

RAG retrieves relevant passages from your documents and puts them in the model's context so answers are grounded in your sources rather than the model's memory. Classic RAG retrieves via a vector database; agentic/grep-based retrieval (what pdf2okf uses) searches structured files directly instead.

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