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AI agents are easy to prototype and hard to ship. Learn how to build a multi‑agent, multi‑tenant app that stays fast and reliable in production. See how Azure Cosmos DB powers agent memory, retrieval, and coordination using document processing, vector and full‑text search, and semantic reranking to deliver low‑latency responses at scale.
To learn more, please check out these resources:
* https://aka.ms/build26/OD820
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
OD820 | English (US) | Cloud platform & data
Pre-recorded | (300) Advanced
#MSBuild
Chapters:
0:00 – Introduction and overview of multi-agent travel assistant using Azure Cosmos DB
00:02:18 – Importance of personalization and reliability in user experience
00:02:31 – Explanation of multi-agent pattern versus single-agent architecture
00:04:16 – Introduction to agentic memory and comparison with RAG
00:06:00 – Detailed architecture of the travel assistant multi-agent system
00:08:35 – Defining and implementing state, short-term, and long-term memory
00:11:06 – Four types of long-term memory: facts, procedural, episodic, and user summary
00:19:00 – Memory extraction, conflict resolution, and intelligent memory management demonstration
00:28:00 – Cosmos DB Agent Kit for best practices and developer productivity
00:34:50 – Reliability, active-active architecture, distributed transactions, integrated embeddings, and global secondary indexes with key takeaways Read More Microsoft Developer
