yoheinakajima/instagraph
Converts text input or URL into knowledge graph and displays
What it solves
InstaGraph converts unstructured text or URLs into visual knowledge graphs, allowing users to easily identify and visualize the relationships between different entities within a complex topic.
How it works
The application uses OpenAI's GPT-3.5 to process input text and extract entities and their relationships. It is built as a Flask application that renders these relationships as a color-coded graph. Users can optionally integrate graph databases like Neo4J or FalkorDB to store and manage the graph data.
Who it’s for
It is designed for coders and researchers who want to quickly turn text-based information into a visual map of interconnected concepts.
Highlights
- Dynamic conversion of text and URLs to graphs.
- Support for multiple graph database drivers including Neo4J and FalkorDB.
- Responsive web interface and API endpoints for integration.
- Color-coded nodes and edges for better visual clarity.
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