fix: extraction, multi-hop traversal, and aggregate result shape (BR-ADV-FEATURES-BUN)
Three advanced-API correctness fixes, all reproducible on Node (not Bun-specific):
- Entity/concept extraction returned []. SmartExtractor combined agreeing signals
with a weighted sum compared against an absolute 0.60 gate, so a confident
low-weight signal lost selection to a mediocre high-weight one that then failed
the gate, dropping the whole result. Select and gate on a normalized weighted
average instead. The public `confidence` option now controls the threshold (was
a dead hardcoded 0.60), and the embedding-signal timeout is raised 100ms -> 2000ms
so the neural signal is not silently dropped on slower runtimes.
- Multi-hop find({ connected }) returned only the 1-hop neighbour. executeGraphSearch
ignored depth/via; it now delegates to the depth-aware neighbors() BFS.
- find({ aggregate }) hid groupKey/metrics/count under .metadata, so callers
expecting AggregateResult saw empty rows. Expose those fields at the top level.
Adds real-embedding regression tests in tests/integration/advanced-apis-regression.test.ts.
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8 changed files with 297 additions and 74 deletions
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@ -122,6 +122,14 @@ export interface Result<T = any> {
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semanticScore?: number // Semantic similarity score (0-1)
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matchSource?: 'text' | 'semantic' | 'both' // Where this result came from
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rrfScore?: number // Raw RRF fusion score (for advanced ranking analysis)
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// Aggregation: present only on rows returned by find({ aggregate }). These mirror the
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// documented AggregateResult shape so callers can read group/metric data at the top level
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// instead of digging into `metadata`. (The same values are also flattened into `metadata`
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// for backward compatibility.)
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groupKey?: Record<string, string | number> // Group-by key values for this aggregate row
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metrics?: Record<string, number> // Computed metric values (sum/avg/min/max/count)
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count?: number // Total entity count in this group
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}
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/**
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