fetch
ChatGPTInternal APP fetch tool for accessing internal APIs
Claude
Ace Knowledge Graph
by Sider AI
Overview
Visualize files and topics with interactive Knowledge Graphs. Transform your documents into structured networks where you can simply click nodes to explain concepts and clarify relationships instantly—making complex information easy to digest.
- Interactive Exploration: Go beyond a static image. Interact with the graph to understand the underlying logic.
- Explain Concepts: Click on any node to get a clear definition and background.
- Clarify Relationships: Click on any connecting line to get an instant explanation of how two concepts are related (e.g., cause-and-effect).
Ideal Use Cases: For researchers, students, and analysts who need to visualize complex relationships in files or topics through interactive exploration.
How to Use in ChatGPT
1. Connect App: Connect Ace Knowledge Graph to ChatGPT.
2. Trigger: Type “@Ace Knowledge Graph”.
Sample prompts:
- "@Ace Knowledge Graph Research the technical principles of LLMs and generate a knowledge graph."
- "@Ace Knowledge Graph Create a knowledge graph mapping out a modern web development stack."
- "@Ace Knowledge Graph make a knowledge graph showing how cybersecurity threats and defenses relate."
Tools
knowledge-graph
ChatGPTGenerate a non-hierarchical, network-based knowledge graph visualization. You (ChatGPT) should create a FLAT, interconnected knowledge graph where nodes represent entities, concepts, or objects, and edges represent semantic relationships between them. IMPORTANT - Network Topology (NO Hierarchy): This is NOT a tree structure. Create a densely connected network where: ✓ All nodes are peers with equal hierarchical weight ✓ Any node can connect to any other node through multiple relationship types ✓ Support many-to-many connections and cyclic relationships ✓ Avoid parent-child hierarchies or tree-like structures ✓ Create clusters based on relationship patterns, not hierarchy Node Design: - Each node should include: • id: Unique identifier (kebab-case, e.g., "react", "typescript") • label: Display name • type: concept/issue/solution/metric/technology/skill/project • description: 1-2 sentences explaining the entity • metadata: Optional properties (e.g., {popularity: "high", difficulty: "medium"}) Edge Design - Semantic Relationships: - Use SPECIFIC semantic relationships, not generic "connected to" - Examples of good relationship labels: • "depends on", "implements", "extends", "uses" • "influences", "causes", "leads to", "results in" • "belongs to", "part of", "contains" • "similar to", "related to", "contrasts with" • "requires", "enables", "supports" Connection Patterns: 1. Hub Nodes: Some nodes naturally have many connections (e.g., "React" in a frontend tech graph) 2. Cross-domain Links: Connect different entity types (e.g., technology → concept → skill) 3. Bidirectional Relations: Same nodes can have multiple edges with different meanings 4. Transitive Relations: Show both direct and indirect relationships 5. Cyclic Relations: Allow circular dependencies where they exist Example - React Ecosystem (Network Structure): Nodes (all peers): - react, typescript, nextjs, hooks, state-management, redux, testing, jest, tailwind Edges (many-to-many connections): - react → typescript ("commonly used with") - react → nextjs ("framework built on") - react → hooks ("provides") - hooks → state-management ("enables") - state-management → redux ("can use") - react → testing ("requires") - testing → jest ("uses") - react → tailwind ("styled with") - typescript → testing ("improves") - nextjs → typescript ("built-in support") Note: No center node, no layers, dense interconnections forming natural clusters.
knowledge-graph-list
ChatGPTWhen to use: - User asks: "Show me my saved knowledge graph list" - User asks: "Display my knowledge graph" - User asks: "Load the knowledge graph I saved" - User asks: "Show my knowledge graph history" you can call the tool
App Stats
3
Tools
4
Prompts
Jan 27, 2026
First seen
ChatGPT
Platforms
Category
Knowledge LookupWorks with
ChatGPT
Data refreshed daily