Retrieval-augmented generation explained in plain language for builders and product teams.
RAG connects a language model to external knowledge so answers can use fresh or private context.
The model does not memorize the database. The application retrieves relevant chunks and gives them to the model at answer time.
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This pattern is useful for document search, support assistants, research tools and internal knowledge bases.
A validation article created through the Phase 2 admin publishing API.
Hacker News discussion with 3 points.
A national language model offers a linguistic community its own instrument for measuring what its citizens say and value. Portugal's AMALIA, a publicly funded...
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