An exploration of the role of an ontologist, covering skills, tasks, differences from taxonomists, training resources, and the future of the field.
This article details a step-by-step guide on building a knowledge graph from plain text using an LLM-powered pipeline. It covers concepts like Subject-Predicate-Object triples, text chunking, and LLM prompting to extract structured information.
The article explores how Retrieval-Augmented Generation (RAG) and knowledge graphs can be used together to break down data silos and enable more accurate, context-aware, and insightful AI systems.
python ./ontology_viz.py -o test.dot test.ttl -O ontology.ttl
