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 offer a powerful repository of direct, traceable, contextual knowledge of entities and knowledge structures for RAG pipelines. Your LLM will indeed wish you had used a knowledge ...

Use a knowledge graph to train an LLM. Use a knowledge graph on the interaction path with an LLM to enrich queries and responses. Use knowledge graphs to create better models.

Diffbot’s Knowledge Graph has been crawling the public internet for the last eight years, categorizing web pages into different groups, such as people, companies, articles and products.

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 ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Knowledge Graphs should be part of their technical strategy for ensuring LLM response accuracy. By achieving over 70% accuracy with the simplest queries – thanks to the integration with the Knowledge ...

Neo4j is targeting GenAI workloads in the fast-growing APAC market by leveraging knowledge graphs to improve the accuracy and explainability of large language models.