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rag q&a

Ask my documents anything.

Retrieval-augmented generation, end to end: your question is embedded locally, matched against a small corpus, and the top chunks ground the model's answer — with every source shown, so you can check its work.

warming up…

embeddings on cpu · cosine top-k · answer by a self-hosted llm · sources always shown