Smarter AI agents need smarter data. Knowledge graphs can help by providing a shared data foundation that enables agents to ...

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

Therefore, we will ask an LLM to create the knowledge graph. Image from author, June 2024 Of course, it’s the LMI framework that efficiently guides the LLM to perform this task.

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner ...

I have been optimizing sites for search engines since 1998, the year Google was incorporated. In those 25 years, I never saw an update as big as the 2023 E-E-A-T Knowledge Graph update.

A knowledge graph, meanwhile, “is a specialized application built on top of a graph database that adds semantic meaning and business context through ontologies and formal relationships,” he added. “In ...

Google’s Knowledge Graph derives from Freebase, a proprietary graph database acquired by Google in 2010 when it bought Metaweb.Google's Thakur, who is technical lead on Knowledge Graph, says ...