HumlaGlossary
What is RAG (retrieval-augmented generation)?
RAG (retrieval-augmented generation) is a technique where an AI first retrieves relevant documents, then writes its answer grounded in what it found — ideally citing the sources it used.
Free · Open source · macOS 13+ (Apple Silicon)
In depth
What it means.
- It beats pasting a whole transcript into a chatbot: the model pulls in only the passages that matter and can point back to where each fact came from, so answers stay grounded instead of guessed.
- Humla runs the whole RAG loop locally on your Mac, over your own meeting notes — retrieval, reading, and an answer with citation chips — with nothing sent to a server unless you pick a cloud model.
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