Transforms text and web content into structured knowledge graphs using local AI models, with persistent storage and real-time visualization.
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.