RAG at scale: production-ready GenAI apps with Azure AI Search | BRK108

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If 2023 was the year of GenAI prototypes, 2024 is the year these apps go into production. In this session we’ll demo how Azure AI Search combines the best RAG capabilities for GenAI apps at any scale, without compromising cost or performance. We will share the latest product updates, including increased storage limits, advanced capabilities for detailed retrieval pipeline control, built-in support for content beyond text, and re-ranking improvements to boost quality of responses.

To learn more, please check out these resources:

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Pablo Castro

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:

BRK108 | English (US) | AI Development

#MSBuild
  1. Microsoft Developer
  2. AI
  3. AI Development
  4. Advanced (300)
  5. Allison Sparrow
  6. Azure
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Комментарии
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something wrong with this video encoding at 2 min in to video this should be re-uploaded

MrDenisMurphy
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Just quick question on Azure AI Search, I have around 1 TB of document data, each document is approx 8MB. During enrichment it tooks 2 minutes for a document seems it will take year to complete the indexing any suggestion on this ?

MultiMohsinkhan
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I am the first here to comment.😄. This was one of the most valuable sessions in the BUILD'24!

sreejith
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How can I deploy RAG application built in AI Search so users can use it?

Momentum_Option_Buyer