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Microsoft

From DEV to PROD - How to Build Agentic Memory with Azure Cosmos DB

Microsoft via YouTube

Overview

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Learn how to build production-ready agentic memory systems using Azure Cosmos DB in this 42-minute conference talk from Microsoft Ignite 2025. Explore the latest AI and search features announced for Cosmos DB and understand core concepts of generative AI applications and prompts. Discover how to define and implement both short-term and long-term agentic memories, utilizing summarization techniques for efficient retrieval and semantic search capabilities. Master various retrieval patterns including SQL-like, semantic, and hybrid queries within Cosmos DB, while addressing latency issues and limitations in on-premise architectures. Examine the design principles for short-term memory and its functional requirements, and gain insights from a real-world case study featuring Walmart Chile's customer-centric AI strategy implementation. Presented by Derek Boudreau, Kendall Brasch, James Codella, and Felipe Morales Heerlein, this advanced-level breakout session provides practical guidance for confidently adopting AI and managing AI applications, agents, and platforms while maintaining visibility, control, and compliance.

Syllabus

0:00 - New AI and Search Features Announced for Cosmos DB
00:06:40 - Core Concepts of Generative AI Applications and Prompts
00:07:26 - Defining Short-Term and Long-Term Agentic Memories
00:12:45 - Using summarization as long-term memory for efficient retrieval and semantic search
00:14:12 - Retrieval patterns: SQL-like, semantic, and hybrid queries in Cosmos DB
00:21:02 - Latency issues and limitations in on-premise architecture
00:22:26 - Design of short-term memory and its functional requirements
00:32:01 - Introduction of Felipe Morales from Walmart Chile
00:32:19 - Overview of Walmart Chile and focus on customer-centric AI strategy

Taught by

Microsoft Ignite

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