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
University will ‘pull the plug’ to test Nutanix disaster recovery
Source is ComputerWeekly.com
The University of Reading’s IT team plans to “pull the plug” on its Nutanix-based infrastructure to test disaster recovery readiness after...
iT.eam presents SOC-CMM: Improving Security Operations Globally
Een unieke kans om uw kennis over SOC-CMM te verbeteren, het raamwerk dat beveiligingsoperaties transformeert!
Dit is het moment om te leren van marktleiders en...
Broadcom letters demonstrate push to VMware subscriptions
Source is ComputerWeekly.com
Concerns over support for VMware recently made the headlines following a critical vulnerability and the subsequent patch, which was limited to...
Apple to play modest role after datacentre heat breakthrough in Denmark
Source is ComputerWeekly.com
Danish engineers are drawing up plans to connect an Apple datacentre to a district heating network in Denmark that...
Benefits and challenges of underground data centers
Source is ComputerWeekly.com
The ever-growing demand for data storage warrants the construction of more powerful, larger data centers that threaten to overwhelm the Earth's...