VentureBeat

Voyage AI's multilingual embeddings boost Snowflake's Cortex AI for improved enterprise RAG

In the world of Retrieval Augmented Generation (RAG) for enterprise AI, embedding models are critical. It is the embedding model that essentially translates different types of content into vectors, ...
SiliconANGLE

Database company Weaviate speeds up AI development with flexible vector embeddings service

Dutch artificial intelligence database startup Weaviate B.V. is looking to streamline the data vectorization process with a new feature that automatically transforms unstructured information into ...
Searchenginejournal.com

Introduction To Vector Databases And How To Use AI For SEO

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...
SiliconANGLE

Data retrieval and embeddings enhancements from MongoDB set the stage for a year of specialized AI

The process of moving an artificial intelligence prototype to production has a lot of moving parts and can get bogged down quickly. To break up this logjam, database services provider MongoDB Inc.
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 ...