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 ...

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

LONDON--(BUSINESS WIRE)--Cloud enterprise software leader BlackSwan Technologies has won the category for the Most Innovative Implementation of Knowledge Graph Technologies at the 2022 A-Team Insight ...

A recent scoping review provides readers with aggregated documentation of the state-of-the-art knowledge graph applications in medical imaging analysis to encourage future research. The review was ...

In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models One of the most ...

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 ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language ...

Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

You need to understand how to influence topics in the Knowledge Graph if you want to help Google understanding your content. Here's how to do it. Knowledge Graphs can help search engines like Google ...