
Convert unstructured text into knowledge graphs using GPT
GraphGPT is an open-source tool that extrapolates knowledge graphs from unstructured natural language text using GPT-3. Users can input movie synopses, Wikipedia passages, video transcripts, or any text to generate interactive graph visualizations showing entities and their relationships.
Converts unstructured text into structured knowledge graphs with entities as nodes and relationships as edges
Generates visual, interactive graph representations of extracted entities and connections
Add more entities and connections to existing graphs by simply entering additional prompts
Uses OpenAI GPT models to intelligently identify entities and relationships from natural language
Accessible directly from a web browser via the hosted Vercel app or self-hosted instance
Fully open-source project available on GitHub for customization and self-hosting
Extract and visualize relationships between people, organizations, and concepts from research papers or articles
Convert lengthy documents, movie synopses, or transcripts into visual knowledge graphs for quick understanding
Help students visualize connections between historical events, scientific concepts, or literary characters
Quickly map out entity relationships in unstructured datasets or text-heavy documents

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