Building Scalable GenAI Apps with Azure Cosmos DB & LangChain

For modern Gen-AI apps, fast performance, scalability, and cost-effectiveness are crucial. This session will highlight these factors for building RAG pattern apps powered by your data stored in Azure Cosmos DB.

We’ll explore Azure Cosmos DB’s new vector database capabilities using DiskANN, a state of theb art vector indexing technology developed by Microsoft Research. DiskANN offers low latency, high-recall vector search at any scale. Combined with Azure Cosmos DB’s scale-out architecture and instant autoscale, it provides unmatched value and cost efficiency.

Join us to learn how to create high accuracy, low latency, and cost-effective RAG pattern applications using Azure Cosmos DB and DiskANN, and discuss upcoming features to expand your possibilities. We’ll also demo how to get started easily using LangChain and Python to kickstart the app development process. This session is valuable for anyone looking to leverage these technologies in their apps and business.

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