Empowering AI Applications with Vector Search in Azure Cosmos DB


Details
Enabling your database for AI applications has never been easier. With the native vector support in Azure Cosmos DB, you can effortlessly deliver rich AI experiences to your users.
We’ll start by covering the basics of vector embeddings, vector indexing, vector search, and Retrieval Augmented Generation (RAG). These fundamentals set the stage for live demos showing how you can leverage the power of AI right inside your transactional database.
You’ll see how Azure Cosmos DB can store and index vector embeddings from Azure OpenAI right alongside your transactional data, run blazing fast vector searches, and deliver natural language responses to natural language questions about your data. Attend this session to accelerate your AI readiness for the future!
You will:
- Get familiar with vector search, vector indexing, retrieval augmented generation, and other foundational AI concepts
- Learn how to integrate your database with Azure OpenAI to deliver a rich AI experience
- See live demos that showcase these capabilities in Azure Cosmos DB
Note: This meeting is at 6 pm PT (one hour earlier than usual).
Leonard Lobel (Microsoft MVP, Data Platform) is the chief technology officer and co-founder of Sleek Technologies, Inc., a New York-based development shop with an early adopter philosophy toward new technologies. He is also a Microsoft consultant at Ernst & Young.

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Empowering AI Applications with Vector Search in Azure Cosmos DB