Directory structure: └── elaidimohamed-llm-knowledge-graph-construction/ ├── README ├── check_env.py ├── requirements.txt ├── .env.example ├── .gitpod.yml └── llm-knowledge-graph/ ├── create_kg.py ├── ...

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.

Incorporating Knowledge Graphs: By leveraging a Retrieval-Augmented Generation (RAG) system, LLMs can access more relevant, real-time information from external knowledge bases. This allows LLMs to ...

API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification method is knowledge graph (KG)-based, but ...

The proposal leverages knowledge gathered from various sources in a knowledge graph to identify semantic ... analysis and detection of vulnerability patterns. Furthermore, LLM-based (large language ...

This potential application creates a text-to-graph experience by utilizing some great machine-learning models to transform unstructured text into an extensive knowledge graph. A collection of powerful ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...