Search Time
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Search Time has 25 facts recorded in Dontopedia across 7 references, with 3 live disagreements.
25 facts·12 predicates·7 sources·3 in dispute
Mostly:rdf:type(6), measured for(6), has unit(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Metric[7]sourceall time · 74cf1528 3381 43e8 Ba59 A5594c22d0ca
- Performance Metric[5]all time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Performance Metric[3]all time · 9f797393 50e3 41f0 A90a Ffaea027f129
- Performance Metric[2]all time · F046bfd3 C03b 4abb 8935 1462ceeedfa6
- Time Metric[4]sourceall time · 5008e54e 93d9 4ac9 Bf88 Ff5b21791248
- Variable[1]sourceall time · 3827376e 4bbb 46c4 Bfcf F6a1df85aa1b
Has Unitin disputehasUnit
- Milliseconds[3]sourceall time · 9f797393 50e3 41f0 A90a Ffaea027f129
- ms[4]sourceall time · 5008e54e 93d9 4ac9 Bf88 Ff5b21791248
- milliseconds[2]all time · F046bfd3 C03b 4abb 8935 1462ceeedfa6
Measured forin disputemeasuredFor
- Annoy 1.18.0[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Faiss 1.7.3[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Hnswlib 0.9.2[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Milvus 2.3.0[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Qdrant 0.8.1[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
- Weaviate 1.19.0[5]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117
Rdfs:labelrdfs:label
Measured inmeasuredIn
- Benchmarking Context[6]sourceall time · 5383632f B9ac 4d09 92fa A373740a1d7b
Belongs to CategorybelongsToCategory
- Performance Metrics[2]all time · F046bfd3 C03b 4abb 8935 1462ceeedfa6
Is Column ofisColumnOf
Correlated WithcorrelatedWith
- Database Performance[3]all time · 9f797393 50e3 41f0 A90a Ffaea027f129
Measuresmeasures
- Query Latency[3]all time · 9f797393 50e3 41f0 A90a Ffaea027f129
Inverse ofinverseOf
- Response Time[3]all time · 9f797393 50e3 41f0 A90a Ffaea027f129
Assigned FromassignedFrom
- Evaluator.evaluate()[1]sourceall time · 3827376e 4bbb 46c4 Bfcf F6a1df85aa1b
Is Measured byisMeasuredBy
- Search Performance[4]all time · 5008e54e 93d9 4ac9 Bf88 Ff5b21791248
Inbound mentions (8)
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.
hasKeyHas Key(3)
- Metrics
ex:metrics - Metrics Dictionary
ex:metrics-dictionary - Metrics Dictionary
ex:metrics_dictionary
hasMemberHas Member(2)
- Metrics
ex:metrics - Metrics List
ex:metrics-list
hasMetricHas Metric(2)
- Code Snippet
ex:code-snippet - Data Point Milvus Search
ex:data-point-milvus-search
printsPrints(1)
- Print Statement
ex:print-statement
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
—
assignedFrombeam/3827376e-4bbb-46c4-bfcf-f6a1df85aa1b
ex:evaluator.evaluate()
—
belongsToCategorybeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
ex:performance-metrics
—
correlatedWithbeam/9f797393-50e3-41f0-a90a-ffaea027f129
ex:database_performance
—
hasUnitbeam/9f797393-50e3-41f0-a90a-ffaea027f129
ex:milliseconds
—
hasUnitbeam/5008e54e-93d9-4ac9-bf88-ff5b21791248
ms
—
hasUnitbeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
milliseconds
—
inverseOfbeam/9f797393-50e3-41f0-a90a-ffaea027f129
ex:response_time
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isColumnOfbeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
ex:matrix
—
isMeasuredBybeam/5008e54e-93d9-4ac9-bf88-ff5b21791248
ex:search-performance
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Annoy 1.18.0
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Faiss 1.7.3
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Hnswlib 0.9.2
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Milvus 2.3.0
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Qdrant 0.8.1
—
measuredForbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Weaviate 1.19.0
—
measuredInbeam/5383632f-b9ac-4d09-92fa-a373740a1d7b
ex:benchmarking_context
—
measuresbeam/9f797393-50e3-41f0-a90a-ffaea027f129
ex:query_latency
—
labelbeam/74cf1528-3381-43e8-ba59-a5594c22d0ca
search_time
—
labelbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
search_time
—
typebeam/74cf1528-3381-43e8-ba59-a5594c22d0ca
ex:Metric
—
typebeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:PerformanceMetric
—
typebeam/9f797393-50e3-41f0-a90a-ffaea027f129
ex:PerformanceMetric
—
typebeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
ex:PerformanceMetric
—
typebeam/5008e54e-93d9-4ac9-bf88-ff5b21791248
ex:TimeMetric
—
typebeam/3827376e-4bbb-46c4-bfcf-f6a1df85aa1b
ex:Variable
References (7)
7 references
- custom
ctx:claims/beam/3827376e-4bbb-46c4-bfcf-f6a1df85aa1b- full textbeam-chunktext/plain1 KB
doc:beam/3827376e-4bbb-46c4-bfcf-f6a1df85aa1bShow excerpt
evaluator = VectorDBEvaluator(library) search_time = evaluator.evaluate() print(search_time) ``` I'm using a simple evaluation metric to compare libraries, but I'm not sure if this is the best approach. Can you review my code and suggest im…
- custom
ctx:claims/beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6- full textbeam-chunktext/plain1 KB
doc:beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6Show excerpt
# Define the databases to compare databases = ['Milvus 2.3.0', 'Faiss 1.7.3', 'Annoy 1.18.0', 'Hnswlib 0.9.2', 'Qdrant 0.8.1', 'Weaviate 1.14.0'] # Define the performance metrics to compare metrics = [ 'search_time', 'indexing_time', '…
- custom
ctx:claims/beam/9f797393-50e3-41f0-a90a-ffaea027f129- full textbeam-chunktext/plain1 KB
doc:beam/9f797393-50e3-41f0-a90a-ffaea027f129Show excerpt
'storage_efficiency': storage_efficiency, 'scalability': scalability, 'ease_of_use': ease_of_use, 'cost': cost } for library, metrics in results.items(): print(f"Library: {library}") print(f"Sear…
- custom
ctx:claims/beam/5008e54e-93d9-4ac9-bf88-ff5b21791248- full textbeam-chunktext/plain1 KB
doc:beam/5008e54e-93d9-4ac9-bf88-ff5b21791248Show excerpt
print(f"Library: {library}") print(f"Search Time: {metrics['search_time']} ms") print(f"Indexing Time: {metrics['indexing_time']} ms") print(f"Storage Efficiency: {metrics['storage_efficiency']} bytes") print(f"Scalabili…
- custom
ctx:claims/beam/da04535a-2bc8-4334-9bca-f9b43cd01117- full textbeam-chunktext/plain1 KB
doc:beam/da04535a-2bc8-4334-9bca-f9b43cd01117Show excerpt
'search_time', 'indexing_time', 'memory_usage', 'storage_size', 'recall_rate', 'precision_rate', 'f1_score', 'query_latency', 'scalability', 'concurrency_support', 'throughput', 'uptime', 'ease_of_integration', 'community_su…
- custom
ctx:claims/beam/5383632f-b9ac-4d09-92fa-a373740a1d7b- full textbeam-chunktext/plain1 KB
doc:beam/5383632f-b9ac-4d09-92fa-a373740a1d7bShow excerpt
This script provides a comprehensive way to benchmark both Weaviate and FAISS for indexing and search performance. By running this script, you can compare the indexing and search times for both systems and make an informed decision based on…
- custom
ctx:claims/beam/74cf1528-3381-43e8-ba59-a5594c22d0ca- full textbeam-chunktext/plain1 KB
doc:beam/74cf1528-3381-43e8-ba59-a5594c22d0caShow excerpt
# Add evaluation for other libraries as needed def evaluate_ease_of_use(self): # This is subjective and can be evaluated based on documentation and API simplicity return "Subjective evaluation" def evaluate…
See also
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