Introduction In the first part of our series on Azure Cosmos DB Vector Search with DiskANN, we explored the fundamentals of vector indexing and search capabilities using Azure Cosmos DB for NoSQL and demonstrated a few early performance and cost characteristics. In Part 2, we’ll demonstrate how to scale to 1 billion vector datasets, while maintain...

We’re excited to announce several new features and advancements for search and retrieval functionalities in Azure Cosmos DB for NoSQL including: These features open the door to building new search and AI scenarios on Azure Cosmos DB, particularly benefiting Retrieval-Augmented Generation (RAG) and multi-agent AI applications by...

We are excited to publish a new whitepaper titled, Microsoft DiskANN in Azure Cosmos DB, where we examine the impressive capabilities of Microsoft DiskANN, a state-of-the-art indexing system designed for accurate and cost-efficient vector search at any scale. We start off with a review of key vector search and database concepts, then follow by d...

Announcing Azure Cosmos DB Vector Store Integration with LangChain.js! We're simplifying AI app development by integrating Azure Cosmos DB's cost-effective and scalable vector search directly with LangChain.js! This powerful combination empowers JavaScript developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB's sca...

We’re excited to announce that the DiskANN vector index is now in open public preview in Azure Cosmos DB for NoSQL! This means that anyone who enrolls an Azure Cosmos DB for NoSQL resource in the Vector Search Public Preview now automatically gets access to the most powerful and scalable vector index on the planet. What is DiskANN? ...

Vector Search with Azure Cosmos DB Azure Cosmos DB NoSQL features advanced vector indexing and search capabilities powered by DiskANN, a suite of highly scalable, accurate, and cost-effective approximate nearest neighbor (ANN) algorithms for low-latency vector search at any scale. Azure Cosmos DB features key capabilities important for building...

 We are excited to announce that native vector indexing and search in Azure Cosmos DB for NoSQL is now available in preview! Azure Cosmos DB is the world’s first full-featured serverless database with vector search and features multiple vector index options from flat (exact), quantized flat, and a new DiskANN-based index. DiskANN is a suite...

We’re thrilled to share that Computed Properties have now hit General Availability in Azure Cosmos DB for NoSQL! Computed properties are a Cosmos DB developer’s dream come true! They allow you to write your query logic just once and then reuse it across multiple queries, saving you time and effort in your database operations. Computed Properties ca...

You can now use the Azure Cosmos DB index metrics to optimize query performance with Index Advisor! Indexing metrics show two important pieces of information: Enabling indexing metrics: You can enable indexing metrics for a query by setting the PopulateIndexMetrics property to true. When not specified, PopulateIndexMetrics defaults ...

We’re thrilled to share the exciting news that the integrated vector database is now officially available to all users of Azure Cosmos DB for MongoDB vCore. This groundbreaking feature paves the way for a multitude of fresh opportunities in the realm of secure and resilient AI-driven applications while making Azure Cosmos DB for MongoDB vCore y...