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Knowledge Graph

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Knowledge graph is an AI interface design pattern that visualizes the relationships and connections between pieces of information in a graph format, showing nodes (concepts, entities, or sources) and edges (relationships). This UX pattern is particularly valuable for RAG (Retrieval-Augmented Generation) systems where it shows how source documents, facts, and concepts are connected. Users can see the knowledge structure, understand how information relates, and verify the AI's reasoning by exploring the graph. This pattern builds trust by making the AI's knowledge base transparent and explorable, helping users understand where information comes from and how it's connected.

Use Case

Ideal for research tools, RAG systems, and knowledge management applications where visualizing information relationships builds trust and understanding.

Examples in Wild

HebbiaObsidianRoam ResearchLogSeq

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Pattern Description:
Interactive Demo
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Visualizing RAG Connections

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