Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

The intersection of graph and vector databases. With the rise of gen AI, there has been a corresponding growth in the need and demand for vector-capable databases. With a vector, ...

A vector is a very long list of numbers, ... But, to get value from connections in the data, it's the graph model that makes the most sense, he noted. Then, the question becomes: ...

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

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.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM ...