Empowering AI Applications with Vector Search in Azure Cosmos DB

Enabling your database for AI applications has never been easier! With the native vector support in Azure Cosmos DB, you can integrate your domain data with Azure OpenAI, and effortlessly deliver a rich AI experience to your users. We’ll start by covering the basics of Retrieval Augmented Generation (RAG), text embeddings, vector indexing, and vector search. These fundamentals set the stage for live demos showing how you can easily leverage the power of AI right over your transactional database. You’ll see how Azure Cosmos DB can store and index vectors from Azure OpenAI, run blazing fast vector similarity searches, and seamlessly deliver natural language responses to natural language questions about your most up-to-date data. Attend this session to accelerate your AI readiness for the future.
#azurecosmosdb #ai #vectorsearch
Useful Links:
GitHub Repo for Workshop - github.com/len...
Slides and code - bit.ly/globalu...
Try Azure Cosmos DB Free: aka.ms/trycosm...
Subscribe to Azure Cosmos DB on KZbin: / azurecosmosdb
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Follow Azure Cosmos DB on LinkedIn: / azure-cosmos-db
Speaker: Leonard Lobel
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. Programming since 1979, Lenni specializes in Microsoft-based solutions, with experience that spans a variety of business domains, including publishing, financial, wholesale/retail, health care, and e-commerce. He is also a consultant, trainer, and frequent speaker at local usergroup meetings, VSLive, SQL Bits, PASS, and other industry conferences. Lenni has also authored several MS Press books and Pluralsight courses on SQL Server and Azure Cosmos DB programming.
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