KnowledgeGraph GPT

KnowledgeGraph GPT aims to utilize OpenAI's GPT-3 model to convert unstructured text data into a structured knowledge graph representation.

Main Features:

• Text to Knowledge Graph Conversion: Processes unstructured text via the GPT-3 model to automatically generate a structured knowledge graph.
• Generate Operation: Provides a Generate function to extract and build a graph from input text with one click.
• Clear Operation: Provides a Clear function to quickly reset the current input and the generated graph.
• Data Import and Export: Supports Export JSON and Import JSON, allowing users to save the generated graph structure data or load existing data.
• Visualization Layout Modes: Offers three different graph visualization display modes: Simple, Hierarchical, and Circle, to meet various observational needs.

Core Advantages:

• GPT-3 Based: Utilizes advanced large language models for natural language understanding and entity-relation extraction.
• Open Source: The project code is hosted on GitHub, allowing developers to inspect the source code, perform secondary development, or deploy locally.
• Structured Output: Transforms unstructured information into clear networks of nodes and relationships, improving information organization efficiency.

Typical Use Cases:

• Information extraction and knowledge management
• Data visualization analysis
• Developer integration and testing