¶ Traversal & Query API
The Traversal & Query API allows developers to navigate the Fuse knowledge graph — resolving entities, relationships, and paths for inference, validation, and enrichment.
¶ Overview
Knowledge traversal enables the system to:
- Discover related concepts and context
- Resolve indirect relationships
- Filter graph segments by type, trust, or scope
- Support role- and intent-driven reasoning
- Inject navigated context into workflows or AI prompts
Traversal is governed, scoped, and explainable.
¶ Why It’s Important
- Enables structured, explainable knowledge discovery
- Supports reasoning across indirect links (e.g., ownership ? policy ? compliance)
- Facilitates scoped inference in domain-specific graphs
- Allows filtered context injection based on graph logic
¶ Traversal Capabilities
| Feature | Description |
|---|---|
 Directed Traversal |
Follow outbound, inbound, or bidirectional links |
 Scoped Graph Segments |
Traverse only within a KB, tenant, or topic cluster |
 Intent Filtering |
Apply filters based on intent type (e.g., explain, validate, compare) |
 Access-Aware Querying |
Enforce permissions on visible nodes and links |
 Depth & Scoring |
Rank or limit results by trust, proximity, or frequency of use |
¶ Typical Use Cases
- Assistant asking: “What does this concept relate to?”
- Workflow validating if a policy is still compliant
- UI showing upstream/downstream relationships
- Pre-building context chains for dynamic prompt injection
- Auditing knowledge coverage and reference density
¶ Graph Query Inputs
Traversals can begin from:
- A KnowledgeNode ID
- A Resource or KnowledgePage
- A query string resolved to node(s)
- A system event (e.g., output from a task or assistant)
Traversal rules, depth, type filters, and scoring logic may be defined per use case.
¶ Result Outputs
Query results may return:
- A list of linked nodes
- A structured path graph
- Annotated context blocks for prompt inclusion
- Link types and confidence metadata
- Aggregated summaries of relationship chains
¶ Future Enhancements
- Visual traversal sandbox
- Graph-aware assistant memory scaffolding
- Multi-graph parallel traversal
- Semantic+symbolic hybrid traversal algorithms
Next: Knowledge Access Control — See how Fuse enforces scoped, identity-based access to knowledge artifacts, methods, and traversal results.