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

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:
* aka.ms/Build24...
* aka.ms/build-r...
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Pablo Castro
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This video is one of many sessions delivered for the Microsoft Build 2024 event. View the full session schedule and learn more about Microsoft Build at build.microsof...
BRK108 | English (US) | AI Development
#MSBuild

[@MrDenisMurphy]

something wrong with this video encoding at 2 min in to video this should be re-uploaded

[@rahulpriyadarshy558]

Awsome content ...loved the intensity of the presenter....

[@sreejith6363]

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

[@MultiMohsinkhan]

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 ?

[@imai-pg3cz]

thanks for the book :)

[@neotechfriend]

awesome!

[@Momentum_Option_Buyer]

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

[@dangranlunde7081]

In Azure Playground, you have an option to deploy the RAG application as a new or existing webapp.