SurrealDB 3.0 wants to replace your five-database RAG stack with one

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.
VentureBeat

Neo4j brings vectors to graph database

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...
datanami.com

Neo4j Finds the Vector for Graph-LLM Integration

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 ...
CIO

Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG

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 ...
TMCnet

New GraphRAG Solution Moves Beyond Vector-only RAG - Knowledge Graphs Provide Context and Common Sense to AI

Graphwise, the leading Graph AI provider, today announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to turn "Python prototypes" into production-grade systems ...

CORPUS OS UNIFIES SIX MAJOR AI FRAMEWORKS THROUGH OPEN SOURCE PROTOCOL SUITE

Interoperable Intelligence Inc. offers Corpus Router for enterprises running production AI at scale. Built on Corpus OS, Corpus Router delivers intelligent multi-model and multi-framework routing, ...
dbta

TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph Database

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...