[DOCS] RAG overview #119590
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[DOCS] RAG overview #119590
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shainaraskas
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| [rag-elasticsearch] | ||
| == Retrieval augmented generation | ||
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| .🍿 Prefer a video introduction? |
| *********************** | ||
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| Retrieval augmented generation (RAG) is a technique where additional context is retrieved from an external datastore before prompting a language model to generate a response using the retrieved context. | ||
| This grounds the model with in-context learning. |
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This sentence is a little colloquial - could rephrase to clarify what you mean by "grounds"
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👍 grounding is the term of art but agree shouldn't assume knowledge
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ahhh consider my comment retracted then
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The docs were missing a RAG overview page. This tries to fill that gap with intro, overview, link to Playground as recommended Elastic implementation, plus links to various RAGgy resources.
TODO: