After trying to broaden its user base to include traditional database professionals last year, MongoDB is switching gears, adding features to turn its NoSQL Atlas database-as-a-service (DBaaS) into a ...

This document evaluates MongoDB Vector Search against the author’s own Vector Database Evaluation Criteria. Introduction What stands out in MongoDB’s new offering is its name, Atlas Vector Search.

MongoDB Atlas Vector Search还实现了多项性能改进,将建立索引的时间大幅缩短85%,可助力加快应用程序开发进程。

MongoDB moves Atlas Vector Search on Knowledge Bases for Amazon Bedrock into general availability, helping train LLMs with proprietary data.

MongoDB unveils Atlas enhancements for AI and semantic search, stream processing, catering to modern data workloads and developer needs.

Unlike add-on solutions that only store vector data, MongoDB Atlas Vector Search powers generative AI applications by functioning as a highly performant and scalable vector database with the added ...

Meanwhile, MongoDB Atlas, a fully managed cloud version of the MongoDB database, has been given a couple of useful new features, including Atlas Data Lake and Atlas Search.

MongoDB said Tuesday that it's making multicloud clusters available on MongoDB Atlas, its cloud database-as-a-service (DBaaS) offering. With multicloud clusters, Atlas developers can deploy a a single ...

It’s been three years since MongoDB launched its cloud platform, Atlas. SVP of Cloud Products, Sahir Azam, details the ‘value add’ of MongoDB in the cloud.