While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Modern consumers expect personalized experiences tailored to their unique preferences, behaviors and needs. Businesses striving to meet these expectations are turning to AI-powered knowledge graphs — ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

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 ...

PowerBridge Media Builds AEO Practice Around Schema, Entity Signals, and Knowledge Graphs Calabasas, United States - ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

Hitachi expanded its HMAX industrial AI platform on September 3, 2026, adding HMAX Data Fabric -- a knowledge-graph system ...

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 ...

Graphwise released GraphDB 11 to address the failure rate of AI projects by improving data infrastructure and governance The new release enables large language models to interact with structured ...

Relay catalysis connects multiple catalytic reactions so that the product of one step becomes the reactant of the next. This approach can improve efficiency, increase selectivity, and reduce energy ...

New CTO will lead technology strategy as Prevalent AI aims to meet demand of use cases focused on context and scalability ...