This means that the content knowledge graph you’ve built to drive SEO can also be reused to ground LLMs in structured, verified, domain-specific knowledge, reducing the risk of hallucinations.

Building a knowledge graph is a task that has been done for a long time with NLP techniques. However LLMs facilitate the creation of such graphs thanks to their capacity to process text.

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 ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

Knowledge graph technology is transforming the way that organizations manage and make sense of data: A Unified View: By integrating data from multiple sources, knowledge graphs eliminate data ...

A knowledge graph is like that car’s navigation system, providing context, meaning, and direction on top of those connections.” The bottom line is that “graph databases are a type of NoSQL database ...

Always have customer-centricity in mind while designing customer knowledge graphs. Conduct workshops to identify business use cases before starting Knowledge graph implementation.

Google’s July 2023 Knowledge Graph update added a layer to the September helpful content update. Google talks about “improved classification,” which is exactly what the Killer Whale update ...

Dive deep into the latest Knowledge Graph update's impact on person entities and how Google's focus on subtitles enhances E-E-A-T signals. I have been optimizing sites for search engines since ...