Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Neo4j Inc. and Microsoft Corp. announced a collaboration today to integrate graph database features into Microsoft’s Fabric and Azure OpenAI services, with an aim to help users uncover patterns and ...

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 ...

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Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Metadata Graph Platforms and GraphRAG Enablement Services Gain Momentum as Enterprises Prioritize Trusted AI Data Infrastructure, Semantic Integration, and Operational Intelligence NEWARK, DE / ACCESS ...

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Artificial intelligence systems may be good at generating text, recognizing images, and even solving basic math problems—but when it comes to advanced mathematical reasoning, they are hitting a wall.

PALO ALTO, Calif.--(BUSINESS WIRE)--Work AI leader Glean today unveiled the third-generation Glean Assistant - an AI extension of you at work - now capable of deeply personalizing results and actions ...