The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Ontotext is releasing vering 9.1 of GraphDB – a powerful database optimized for the development and maintenance of knowledge graphs. In 9.1, the database now offers multiple important features to ...

Latest version of the leading database engine powers enterprise AI with knowledge-grounded data, LLM integration, and scalable graph performance NEW YORK, July 8, 2025 /PRNewswire/ -- Graphwise, the ...

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations Graphwise, a leading Graph AI provider, announced ...

Graphwise, a leading Graph AI provider, is releasing GraphDB 11, a database engine that enhances enterprise knowledge management and allows organizations to create a foundation for reliable AI.

Ontotext has announced GraphDB 9.0, which is aimed at lowering the effort required for development and continuous operation of knowledge graphs by opening multiple integration extension points for its ...

GraphDB 9.4 now features SQL access to graphs over JDBC driver, visual interface for defining transformation of tabular data to RDF and mapping to existing graphs as well as RDF mapping API with ...

SOFIA, Bulgaria, June 13, 2019 /PRNewswire/ -- Ontotext has just released the latest backward compatible update, 8.10, of its signature semantic graph database GraphDB, making the knowledge graph ...

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations By leveraging knowledge graphs for retrieval ...

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations By leveraging knowledge graphs for retrieval ...

This new version of GraphDB was designed not only for data scientists, knowledge engineers, and enterprise users working with large knowledge graphs, but also for decision-makers in data-intensive ...