Showing results for AI - 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...

This blog post covers how to build a chat history implementation using Azure Cosmos DB for NoSQL Go SDK and langchaingo. If you are new to the Go SDK, the sample chatbot application presented in the blog serves as a practical introduction, covering basic operations like read, upsert, etc. It also demonstrates using the Azure Cosmos DB Linux-based e...

This article is guest authored by Youssef Moussaoui, member of the technical staff, Microsoft Copilot. As part of the team developing Microsoft Copilot, we’re constantly looking for ways to improve the application and keep our millions of users engaged. With this in mind, we recently evaluated the structure of our backend and began looking for a...

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 ...

We’re continuing to simplify AI app development by integrating Azure Cosmos DB’s cost-effective and scalable vector search directly with Spring AI and LangChain4J! These frameworks empower Java developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB’s scalability and efficient vector indexing and search capabilities, ...

This article was co-authored by Kenji Onishi, Senior Manager, Powertrain Performance Development​, Toyota Motor Corporation; Kosuke Miyasaka, Azure App Innovation Specialist; and Keisuke Hatasaki, Azure Sr. Specialist, GBB. ​ Executive Summary: Toyota Motor Corporation, one of the world’s largest automobile manufacturers, has adopted Azure Cosmo...

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...

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 are thrilled to introduce the Azure Cosmos DB Samples Gallery —your ultimate destination for top-tier Azure Cosmos DB samples, technical guidance, and content created by both Microsoft and the community, including Azure OpenAI samples.   Who is it for? Designed for developers and technical professionals, this gallery is an invaluable ...