Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
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 ...
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 ...
dbta

AI Game Changers: Knowledge Graphs, Vector Databases, and Semantic Layers

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...
Yahoo Finance

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

Latest Graphwise offering bridges the gap between complex enterprise data and functional AI agents, using ontologies reduces inaccurate answers 2X in benchmarks Equally important, the company ...
TechCrunch

Adobe Firefly’s generative AI models can now create vector graphics in Illustrator

Illustrator is Adobe’s vector graphics tool for graphic artists and it’s about to join the generative AI era with the launch of the Firefly Vector Model at Adobe’s MAX conference today. Adobe ...