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Microsoft

How Veeam Delivers Planet-Scale Semantic Search with Azure Cosmos DB

Microsoft via YouTube

Overview

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Explore how to implement planet-scale semantic search capabilities using Azure Cosmos DB in this 41-minute conference talk from Microsoft Ignite 2025. Discover Azure Cosmos DB's advanced features including reliable data storage, vector search, and full-text indexing designed to deliver massive scale and rapid, relevant search results for enterprise-grade applications. Learn about the Microsoft DiskANN Vector Index for semantic search and how to achieve hyper-scale vector search with Azure Cosmos DB Garnet Cache. Examine system architecture patterns using Azure Event Hubs, Container Apps, Databricks, and Cosmos DB with focus on security, scalability, reliability, and regional compliance. Dive into detailed architecture concepts including event-driven pipelines, data refinement, enrichment, and indexing processes. Master optimization techniques for vector search with multi-tenant IO and shard keys. Follow along with live demonstrations featuring Veeam Data Cloud Admin Console and Project Atlas, including semantic search for finding contextually relevant emails and hybrid search combining vector and text-based ranking. Gain insights from the Azure Cosmos DB engineering team and Veeam experts on optimizing any-scale scenarios for efficient and fast search performance in real-world enterprise environments.

Syllabus

0:00 - Introduction to Microsoft DiskANN Vector Index for Semantic Search
00:07:35 - Hyper Scale Vector Search with Azure Cosmos DB Garnet Cache
00:12:06 - Focus on security, scalability, reliability, and regional compliance
00:12:31 - System architecture using Azure Event Hubs, Container Apps, Databricks, and Cosmos DB
00:14:38 - Detailed architecture: event-driven pipeline, data refinement, enrichment, and indexing
00:23:55 - Optimizing Vector Search with Multi-Tenant IO and Shard Keys
00:26:45 - Demo Setup: Veeam Data Cloud Admin Console and Project Atlas
00:31:20 - Semantic Search Demonstration: Finding Contextually Relevant Emails
00:37:03 - Demonstration of hybrid search combining vector and text-based ranking

Taught by

Microsoft Ignite

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