“With Vector Search, Tigris Data gives developers the ability to deliver fast, accurate, and personalized recommendations to their users,” said Tariq in a release. “This powerful tool is designed to ...

NEW YORK, Jan. 16, 2024 — Pinecone has announced a new vector database that lets companies build more knowledgeable AI applications: Pinecone serverless.Multiple innovations including a ...

In an effort to help enterprise build applications based on generative AI from data stored in MongoDB, the company has introduced a vector search capability inside Atlas, dubbed Atlas Vector Search.

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially ...

Vector search is also useful for all manner of real-time applications, such as content recommendations in social networks or e-commerce apps, as it can look at what a user has searched for and ...

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today.. Timescale was founded in 2017 as a time series database (TSDB ...

Liberty said that the user shouldn’t care if they are starting an application that has five thousand or five billion vectors. “You create an index and you start using the service,” he said.

With this news, Monte Carlo becomes the first-ever data observability platform to announce data observability for vector databases, a type of database designed to store and query high-dimensional ...

On March 3, Teradata (NYSE:TDC) introduced Enterprise Vector Store, an in-database solution designed for efficient vector data management, crucial for Trusted AI.

Microsoft Fabric, a data platform intended to unify all data and analytics services, now includes support for semistructured data through the preview of Azure Cosmos DB, a NoSQL and vector database.