Low latency and fast response times are key to the performance of AI agents. In this session, we'll dive into how Azure Managed Redis can dramatically improve the performance of your AI applications, including those built on Azure SQL. Learn how to pick the right configurations to boost performance and how to use the latest .NET abstractions to easily add caching layers.
To learn more, please check out these resources:
https://aka.ms/build25/plan/DataAIrea...
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
Benjamin Renaud
Shruti Pathak
Slava Koltovich
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
BRK203 | English (US) | Data & Analytics
#MSBuild
Chapters:
0:00 - Introduction and Session Overview
00:07:17 - Introduction to Performance Tiers in AMR
00:14:12 - Introduction of Catherine to Discuss Practical Application
00:32:35 - Explanation of Semantic Caching and its Mechanisms
00:33:55 - Demonstration of Query Responses Using Semantic Caching
00:39:34 - Redis and Its Integration in AI Applications
00:43:20 - Utilizing Multi-Core Capabilities in Radius Enterprise
00:46:17 - Implementation of Dual Channel Replication
00:47:09 - Introduction of Redis for AI and Vector Databases
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