AI Knowledge Graph Generator
Automatically extract entities and relationships from text, documents, and web pages to generate visual knowledge graphs with interactive exploration
Knowledge Graph Interface
Interactive knowledge graph viewer coming soon
Features
- ✓ Smart entity recognition, auto-extracting people, organizations, locations, concepts
- ✓ Relationship extraction, auto-discovering connections and attributes between entities
- ✓ Interactive graph browsing with zoom, filtering, and path exploration
- ✓ Multiple input sources: text, PDF, web pages, databases
- ✓ Export to JSON-LD, RDF, Neo4j and other standard formats
How to Use
- Upload documents or paste text content
- Select entity types and relationship types
- Click generate, AI auto-analyzes and builds the knowledge graph
- Interactively browse the graph, click nodes to view details
- Export or integrate into your application
FAQ
What languages does the Knowledge Graph Generator support?
Supports entity recognition and relationship extraction in 20+ languages including Chinese, English, Japanese, Korean. Cross-language documents can be mixed.
What's the maximum document size supported?
Single processing supports up to 100-page PDFs or 500,000 characters. Large documents can be processed in batches with automatic entity merging.
What scenarios can the generated knowledge graph be used for?
Ideal for enterprise knowledge management, academic paper analysis, competitive intelligence, legal case correlation analysis, medical knowledge organization and more.
How is entity recognition accuracy ensured?
Uses multi-level AI model joint judgment combined with contextual semantics and domain knowledge bases, achieving 92%+ accuracy. Supports manual correction and feedback optimization.
Can I customize entity and relationship types?
Fully supported. You can customize entity categories (products, technologies, metrics, etc.) and relationship types (dependency, competition, ownership, etc.) to fit your business scenarios.