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Search for concepts or source passages using semantic similarity. Your ENTRY POINT to the graph.

CONCEPT SEARCH (type: "concepts", default) - Find concepts by semantic similarity: - Grounding strength (-1.0 to 1.0): Reliability/contradiction score - Diversity score: Conceptual richness (% of diverse connections) - Authenticated diversity: Support vs contradiction indicator (✅✓⚠❌) - Evidence samples: Quoted text from source documents - Image indicators: Visual evidence when available - Document sources: Where concepts originated

SOURCE SEARCH (type: "sources") - Find source text passages directly (ADR-068): - Searches source document embeddings, not concept embeddings - Returns matched text chunks with character offsets for highlighting - Shows concepts extracted from those passages - Useful for RAG workflows and finding original context

RECOMMENDED WORKFLOW: After search, use concept (action: "connect") to find HOW concepts relate - this reveals narrative flows and cause/effect chains that individual searches cannot show. Connection paths are often more valuable than isolated concepts.

Use 2-3 word phrases (e.g., "linear thinking patterns").

Parameters:

  • query (string) (required) - Search query text (2-3 word phrases work best, e.g., "linear thinking patterns")
  • type (string) - Search type: "concepts" (default - semantic concept search) or "sources" (source passage search, ADR-068)
  • Allowed values: concepts, sources
  • Default: "concepts"
  • limit (number) - Maximum number of results to return (default: 10, max: 100)
  • Default: 10
  • min_similarity (number) - Minimum similarity score 0.0-1.0 (default: 0.7 for 70%, lower to 0.5-0.6 for broader matches)
  • Default: 0.7
  • offset (number) - Number of results to skip for pagination (default: 0)
  • Default: 0
  • ontology (string) - Filter by ontology/document name (sources only)