Retrieval-augmented generation
Retrieval-augmented generation
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Rarity: Uncommon
A topic a little better known than average, read and translated beyond its own country.
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At a glance
- Class
- Notion
- Domain
- Science and technology
- In collections
- Nobody has pulled it yet.
What Wikipedia says
Retrieval-augmented generation (RAG) is a technique that enables large language models (LLMs) to retrieve and incorporate new information from external data sources. With RAG, LLMs first refer to a specified set of documents, then respond to user queries.
Excerpt from the Wikipedia article “Retrieval-augmented generation”, under the CC BY-SA 4.0 license. Read the article on Wikipedia
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