Knowledge Graph: Connect the Dots
Understand relationships between concepts for more intelligent responses.
The Isolated Knowledge Problem
How Knowledge Graph Works
Entity Extraction
Our system automatically identifies key entities and concepts from your documents.
Relationship Mapping
Connections between entities are detected and stored in a graph structure.
Contextual Retrieval
Queries leverage both vector and graph search for more comprehensive results.
Why Knowledge Graph Matters
Deep Understanding
Your AI understands how concepts are connected in your knowledge domain.
Complex Queries
Answer multi-hop questions that need to connect multiple pieces of information.
Knowledge Discovery
Discover hidden connections and insights in your data.
Improved Accuracy
Context-aware retrieval reduces hallucinations and errors.
Knowledge Graph Capabilities
| Feature | RAG Engine | Chatbase | CustomGPT | Dify |
|---|---|---|---|---|
| Entity Extraction | Partial | |||
| Relationship Mapping | ||||
| Multi-hop Reasoning | ||||
| Graph Visualization | Partial |
Based on publicly available feature lists as of 2024
Perfect For
R&D
Connect research findings, patents, and technical documentation.
Compliance
Track connections between regulations, policies, and procedures.
Enterprise Organization
Understand relationships between people, teams, and projects.
Product Catalogs
Connect products, features, categories, and customer needs.
Ready to Experience This Feature?
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