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KG-Pipeline provides an end-to-end workflow to transform unstructured text into an interactive knowledge graph using Large Language Models. It extracts structured SPO triples, normalizes and deduplicates data, builds a Knowledge Graph with NetworkX, and visualizes it interactively in a notebook (via ipycytoscape). The project is aimed at beginners to intermediate Python users exploring NLP, knowledge graphs, and LLM-enabled data extraction and visualization.
AI named KG-Pipeline in January 2026.