182 stars | 18 forks | Python
Turn any collection of documents into a knowledge graph. Extract entities and relationships via LLM, deduplicate with your approval, and explore the result in your browser — all from the CLI.
What it does
sift-kg transforms collections of documents into interactive knowledge graphs, enabling users to extract entities, resolve duplicates, and generate narratives effortlessly. This tool is essential for researchers, journalists, and analysts looking to visualize complex relationships in their data.
Why it matters: Unlock the power of your documents with sift-kg: create knowledge graphs and narratives without any coding!
Want to create content about this repo? Use Nemati AI tools to generate articles, tutorials, and social posts.
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