quipu_hybrid_search
Combine SPARQL constraints with vector similarity search using a natural-language query or precomputed embedding, pushing simple type filters into the vector index for filtered ANN retrieval.
Instructions
Combined SPARQL + vector similarity search with predicate pushdown. Accepts a pre-computed embedding or natural-language query. Simple type constraints (e.g. ?s a ) are pushed into the vector index for O(log n) filtered ANN.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum results (default: 10) | |
| query | No | Natural language search query (auto-embedded when EmbeddingProvider is attached) | |
| sparql | No | SPARQL SELECT query returning entity IRIs in the first variable. Simple type patterns (e.g. ?s a <Type>) enable predicate pushdown. | |
| valid_at | No | Point-in-time for temporal filtering (ISO-8601) | |
| embedding | No | Pre-computed query embedding vector (f32 array). Takes precedence over query. |