Serverless GenAI: building scalable RAG apps with Azure Cosmos DB

Wednesday, November 20
8:30 PM - 9:15 PM Greenwich Mean Time
Duration 45 minutes
BRK193
On Demand
Breakout
In Chicago + Online

In this session, we’ll explore advanced strategies for scalable serverless RAG applications using Azure Cosmos DB and DiskANN. Topics include architecture simplification, data synchronization, scalability challenges, and multi-tenancy. We’ll discuss the latest developments in vector search, full-text search, and hybrid search in Azure Cosmos DB, showcasing real-world use cases from our customers like EY. Learn how to get started easily with LangChain and Semantic Kernel.

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Bhaskar Bhatt

Global Product Lead - Data & AI
Business Technology Leader with proven track record in building Transformative commercial products & enterprise platforms. Has been at the forefront of technology since past two decades and have solved complex business challenges using disruptive, emerging technologies - Gen AI, Data, Digital, Mobile, Cloud, Metaverse & IoT.
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James Codella, PhD

Principal Product Manager
James is a Principal Product Manager working to enable planetary scale applications with Azure Cosmos DB. Specifically, he focuses on the Cosmos DB Query Engine and leads AI product work including state-of-the-art vector indexing and search with DiskANN, text and hybrid search, and other advanced information retrieval methods.
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Zhe Li

Principal Software Engineer Manager
Zhe Li is a Principal Software Engineering Manager in Azure CosmosDB for MongoDB, primarily responsible for driving the development and evolution of our world-class database service, with a focus on performance, scalability, compliance, security, and more.