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articles/search/retrieval-augmented-generation-overview.md

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@@ -30,7 +30,7 @@ The decision about which information retrieval system to use is critical because
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Azure AI Search is a [proven solution for information retrieval](/azure/developer/python/get-started-app-chat-template?tabs=github-codespaces) in a RAG architecture. It provides indexing and query capabilities, with the infrastructure and security of the Azure cloud. Through code and other components, you can design a comprehensive RAG solution that includes all of the elements for generative AI over your proprietary content.
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> [!NOTE]
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> New to copilot and RAG concepts? Watch [Vector search and state of the art retrieval for Generative AI apps](https://ignite.microsoft.com/sessions/18618ca9-0e4d-4f9d-9a28-0bc3ef5cf54e?source=sessions).
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> New to copilot and RAG concepts? Watch [Vector search and state of the art retrieval for Generative AI apps](https://www.youtube.com/watch?v=lSzc1MJktAo).
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## Approaches for RAG with Azure AI Search
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