Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

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.

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable. Skip to main content Events Video Special Issues Jobs ...

The International Standards Organization’s publication of a standard for the Graph Query Language earlier this month generated relatively little media interest, but executives at graph database make ...

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM.

You’ll use the Cypher query language to add, change, and find complex network data. Cypher is great for dealing with complicated data structures, making it a perfect match for graph databases ...

Integrating knowledge graphs is a promising solution with several key advantages. The advent of transformers has revolutionized text vectorization, achieving unprecedented precision. These embeddings ...