Exploring Knowledge
How to find and navigate concepts in your knowledge graph.
Overview
After ingesting documents, you have a graph of interconnected concepts. Exploring means: - Searching - Finding concepts by meaning - Navigating - Following relationships between concepts - Connecting - Discovering paths between ideas - Verifying - Tracing concepts back to sources
Semantic Search
Search finds concepts by meaning, not just keywords.
CLI
Returns concepts semantically similar to your query, even if they use different words.
With options:
# Limit results
kg search --limit 20 "economic policy"
# Filter by ontology
kg search --ontology "research" "neural networks"
# Show more detail
kg search --verbose "machine learning"
Web Interface
- Use the search bar at the top
- Results show concepts ranked by similarity
- Click any concept to see details
Understanding Results
Each result shows: - Concept name - The extracted idea - Similarity score - How close to your query (0-1) - Grounding - How well-supported (-1 to +1) - Source count - How many documents mention it
Viewing Concept Details
CLI
Shows: - Full concept information - All evidence (source text that led to this concept) - Relationships to other concepts - Grounding breakdown
Web Interface
Click any concept to open its detail view: - Evidence panel - Original text excerpts - Relationships panel - Connected concepts - Sources panel - Documents where it appears
Navigating Relationships
Concepts connect to other concepts. Explore these connections:
Find Related Concepts
Returns concepts directly connected, grouped by relationship type: - Supports - Contradicts - Implies - Causes - Part of
Filter by Relationship Type
Explore Deeper
# Go 2 hops out
kg search related <concept-id> --depth 2
# Go 3 hops
kg search related <concept-id> --depth 3
More hops = more concepts, but further from the original.
Finding Connections
Discover how two concepts relate:
CLI
Finds paths between concepts, showing how ideas chain together.
Options:
# Limit path length
kg search connect "X" "Y" --max-hops 3
# Use concept IDs for precision
kg search connect abc123 def456
What Paths Show
A path might look like:
Climate Change
──[CAUSES]──> Sea Level Rise
──[AFFECTS]──> Coastal Cities
──[IMPLIES]──> Migration Patterns
This reveals the chain of reasoning connecting distant ideas.
Exploring Contradictions
Find where sources disagree:
Search for Contested Concepts
Look for concepts with mixed grounding (scores near 0) in the results.
View Both Sides
When you find a contested concept:
The evidence section shows which sources support and which contradict.
Filter by Epistemic Status
Shows relationship types that have mixed evidence across the graph.
Exploring by Source
Start from a document and see what was extracted:
List Sources in an Ontology
View Document's Concepts
In the web interface: 1. Navigate to Documents 2. Select a document 3. See all concepts extracted from it
Visual Exploration (Web)
The web interface provides visual navigation:
Graph View
- Concepts as nodes
- Relationships as edges
- Click to focus
- Drag to rearrange
- Zoom to explore
Filters
- By ontology
- By grounding threshold
- By relationship type
- By date range
Highlighting
- Hover to see connections
- Click to lock focus
- Double-click to expand neighborhood
Exploration Strategies
Start Broad, Narrow Down
- Search for a general topic
- Find a relevant concept
- Explore its relationships
- Follow promising connections
Follow Contradictions
- Look for low-grounding concepts
- Check which sources disagree
- Understand both perspectives
- Form your own view
Map a Topic
- Search for the central concept
- Get all related concepts (depth 2-3)
- Look for clusters and bridges
- Identify key relationships
Verify Claims
- Find the concept
- Check its grounding score
- Read the source evidence
- Trace to original documents
Tips
Use Specific Queries
"Effects of sleep deprivation on memory" finds more relevant concepts than "sleep".
Check Grounding Before Trusting
High grounding (> 0.7) means many sources agree. Low or negative means contested or contradicted.
Explore Neighborhoods
The most interesting insights often come from concepts 2-3 hops away from your starting point.
Compare Ontologies
If you have separate knowledge bases, search both to see how different document sets treat the same topics.
Next Steps
- Understanding Grounding - Interpret confidence scores
- Querying - Programmatic access via CLI, API, and MCP