Knowledge Graph Builder
Transforms text and web content into structured knowledge graphs using local AI models, with persistent storage and real-time visualization.
About
The Knowledge Graph Builder empowers users to convert various forms of content, including extensive text documents and entire web pages, into detailed knowledge graphs. Leveraging local AI models, it intelligently extracts entities and relationships, even from large datasets through smart chunking. The generated graphs are not only visualized in real-time with interactive SVG outputs but also persistently stored in Neo4j and Qdrant databases, providing a robust foundation for semantic search, data analysis, and unified entity tracking.
Key Features
- 1 GitHub stars
- Local AI Processing via Ollama or LM Studio
- Generates structured knowledge graphs with entities and relationships
- Provides real-time and interactive SVG graph visualization
- Handles arbitrarily large content with intelligent chunking
- Scrapes and analyzes full web pages without size limits
Use Cases
- Analyzing unstructured text input to create structured knowledge bases
- Extracting and structuring information from web pages for data analysis
- Processing and visualizing insights from very large conversation logs or documents