A Vector DB stores and manages unstructured data — text, images, audio, etc. — as vector embeddings (numerical format). These embeddings capture the semantic relationships between the data points.

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 ...

Sivasubramanian further elaborated that the new service makes it easier for users to uncover hidden relationships across data – by storing the graph and vector data together. He also cited the example ...

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. “Neptune ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation. It ...

To drill down on three key components of the evolving AI stack, DBTA is hosting a special roundtable webinar on September 26th. Reserve your seat today! Register Now to attend the webinar Data ...

This powerful combination enables AllegroGraph to solve complex problems that require reasoning and learn efficiently with less data, thereby expanding applicability across a broad array of tasks. The ...

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 ...

This capability allows the InterSystems Iris data platform to manage and query content and related dense vector embeddings, particularly as it enables Retrieval-Augmented Generation (RAG ...