Abstract: Complex multi-hop logical queries are a highly regarded problem in the field of knowledge graphs. The challenge lies in whether the query model can effectively rely on observed entities and ...

A powerful Go application that transforms SQL database structures (MySQL, PostgresSQL) into Neo4j graph databases with interactive visualization and comprehensive performance analysis capabilities.

Researchers call this context rot: as an AI system processes more information, irrelevant details clutter its working memory. The result can be less accurate responses, higher costs, and a gradual ...

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Currently, the system only displays graph data based on explicitly defined transformation rules. However, there's often valuable implicit relationship information that can be derived directly from SQL ...

Abstract: The temporal knowledge graph (TKG) query facilitates the retrieval of potential answers by parsing questions that incorporate temporal constraints, regarded as a vital downstream task in the ...

As AI-generated answers take over the search landscape, understanding what gets cited – and why – has never been more critical. Explore citation data across leading AI engines, see how B2B and B2C ...