MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
VentureBeat

Timescale expands open source vector database capabilities for PostgreSQL

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) technology ...
Techzine Europe

MongoDB launches Voyage 4 embedding models for AI apps

MongoDB is taking a new step toward AI developers with the general availability of the Voyage 4 embedding family and ...
InfoWorld

Using PostgreSQL as a vector database in RAG

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
SiliconANGLE

Vast Data adds vector search and serverless functions to its scalable data platform

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...
Visual Studio Magazine

Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...