To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

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 ...

By training an LLM on curated, high-quality, structured data—which is what a knowledge graph is, after all—you can significantly reduce the risk of errors and "hallucinations.” ...

To start building your knowledge graph, set up a Neo4j database. It will be the backbone of your project. You’ll use the Cypher query language to add, change, and find complex network data.

The flexibility offered by a knowledge-graph-powered data catalog enables near-immediate support for new types of data sources; a knowledge graph makes it easy to extend the model to represent ...

In 2012, the term Knowledge Graph was introduced. A very successful rebranding indeed, and that's not all we have Google to thank for.

Franz Inc., a semantic graph database technology vendor based in Oakland, Calif., and the Semantic Web Co. have teamed to produce the first semantic knowledge graph of a public figure, assembling what ...

The Knowledge Graph There have been many attempts to improve on the functionality of the relational database since the model was first developed. One which is quickly growing in popularity due to ...