AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, ...

These are trained on data sets used for different applications. We use one tuned for Q&A, # hence the 'qa' in the name. There are other embedding models, some tuned for speed, some for breadth, etc.

Although vector databases have been around for decades, their application was limited. Forrester estimates the current adoption rate of vector databases at 6%, with a projected surge to 18% over ...

As artificial intelligence reshapes marketing technology, vector search has emerged as a critical capability for 2025 data strategies. For marketing leaders, understanding how this technology ...

With Redis Data Integration (RDI) in the Redis 7.2 update, the company is providing an integrated approach to help get data from other data sources including Oracle Database, PostgreSQL, MySQL and ...

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...

While graph data is great at representing and analyzing complex relationships and connections, vector data is optimized for efficient search capabilities and calculations in high-dimensional spaces.