Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...

AWS announced a new capability today called Neptune Analytics that uses vector search to understand the relationships in a graph database.

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

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 ...

By reducing the need to structure data, vector databases can speed up generative AI training times to dramatically improve our productivity.

One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great at representing ...

This is why knowledge graphs, vector databases and semantic layers are increasingly foundational for scalable, enterprise-grade AI systems. Together, these components form a foundation for retrieval ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities.