We are excited to announce that vector search in Azure Cosmos DB for MongoDB vCore is now generally available, revolutionizing your data management experience. This new feature enables you to conduct vector similarity search seamlessly within your existing database. By integrating vector search capabilities natively, you can unlock the full potential of your data in applications built on the OpenAI API, as well as your custom-built solutions that leverage vector embeddings for semantic search, recommendations, and more. This all-in-one solution streamlines the process of building AI-based applications with your own data by reducing complexity and improving efficiency. Experience the future of MongoDB workloads with vector search in Azure Cosmos DB for MongoDB vCore.
Recente posts
Meest bekeken posts
Updated Retirement Notice: Azure Data Catalog will now be retired on 15 May 2024
Source is Azure Business News
...
Microsoft sees datacentre investments key to AI leadership
Source is ComputerWeekly.com
Microsoft announced revenue of $61.9bn for the quarter which ended 31st March 2024, representing an increase of 17% over the same...
Alphabet earnings show drive to boost Google Cloud and AI adoption
Source is ComputerWeekly.com
Google parent Alphabet has reported a 15% increase in its first-quarter revenue to $80.5bn. While advertising remains the biggest earner, the...
How to Migrate Content from Amazon WorkDocs
Source is Amazon Business Productivity
Amazon WorkDocs provides two methods for migrating data out of a WorkDocs...
Podcast: How to prepare your data for digital transformation
Source is ComputerWeekly.com
In this podcast with Chris Gorton, EMEA managing director at Syniti, we look at how to optimise data for digital transformation.
We...