Showing results for Vector Search - Azure Cosmos DB Blog

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...

In applications such as personalized recommendations and scientific research, accurately identifying the closest data points to a given query is crucial. Traditional methods like Approximate Nearest Neighbor (ANN) search offer faster retrieval times by approximating results but may sacrifice accuracy, leading to potential errors in scenarios where ...

Azure Cosmos DB was named by Bloomberg as the no. 1 Database of choice for Retrieval Augmented Generation (RAG) and Large Language Model (LLM) customization. It is used by OpenAI to scale it’s ChatGPT service, and by many thousands of customers worldwide, serving billions of end-users with globally distributed apps at planet scale. In this blog ...

Microsoft Ignite 2024 took over the Windy City this week, bringing with it new technological innovation and exciting product announcements aplenty! If you missed the first day of the show, don't worry – we’ve got you covered with all the latest and greatest Azure Cosmos DB news. This year's event saw great enthusiasm and attendance at McCorm...

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...

Azure Cosmos DB powers some of the world’s most popular intelligent apps like ChatGPT. In a recent hackathon, Over 9,500 developers engaged with Azure Cosmos DB and Azure AI services, making it one of the most popular on Devpost, ranking in the top 0.2% of all Devpost hackathons.  Participants explored AI fundamentals and built their own AI appl...

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...