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

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

Microsoft Ignite via YouTube Direct link

0:00 - New AI and Search Features Announced for Cosmos DB

1 of 9

1 of 9

0:00 - New AI and Search Features Announced for Cosmos DB

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

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  1. 1 0:00 - New AI and Search Features Announced for Cosmos DB
  2. 2 00:06:40 - Core Concepts of Generative AI Applications and Prompts
  3. 3 00:07:26 - Defining Short-Term and Long-Term Agentic Memories
  4. 4 00:12:45 - Using summarization as long-term memory for efficient retrieval and semantic search
  5. 5 00:14:12 - Retrieval patterns: SQL-like, semantic, and hybrid queries in Cosmos DB
  6. 6 00:21:02 - Latency issues and limitations in on-premise architecture
  7. 7 00:22:26 - Design of short-term memory and its functional requirements
  8. 8 00:32:01 - Introduction of Felipe Morales from Walmart Chile
  9. 9 00:32:19 - Overview of Walmart Chile and focus on customer-centric AI strategy

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