Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG Unlock growth and efficiencies with EXL's Generative AI Solutions Driving success in 2024 with AI-powered insights ...

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure.Available in the Azure Marketplace, it’s a ...

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, ...

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 ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database support ...

SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave ...

Oracle Corp.'s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on s ...

Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors ...