Vector Search Metrics
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Vector Search Metrics has 5 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
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raw canonical shape-checked rule-derived certifiedInbound mentions (1)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
isEvaluatedByIs Evaluated by(1)
- Vector Search System
ex:vector-search-system
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Calculates Metric | Recall Rate | [1] |
| Calculates Metric | Precision Rate | [1] |
| Calculates Metric | F1 Score | [1] |
| Rdf:type | Code Snippet | [1] |
| Written in | Python | [1] |
Timeline
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References (1)
ctx:claims/beam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9- full textbeam-chunktext/plain1 KB
doc:beam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9Show excerpt
true_positives = sum([1 for vec in retrieved_neighbors if vec in true_neighbors]) false_positives = len(retrieved_neighbors) - true_positives false_negatives = len(true_neighbors) - true_positives recall_rate = true_positive…
See also
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