Annoy 1.18.0
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Annoy 1.18.0 has 73 facts recorded in Dontopedia across 5 references, with 8 live disagreements.
73 facts·47 predicates·5 sources·8 in dispute
Mostly:rdf:type(5), has lower ease of integration than(5), has lower uptime than(5)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Vector Database[1]all time · 98bc9425 2e1a 436c 9385 948ebc2769f1
- Vector Search Library[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Vector Search Library[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Vector Search Library[5]all time · Af22a9fe 7b7b 4f1b A277 492b716acded
- Vector Search Library[3]all time · 7962136c C338 4cc2 87ff Eaf945be2841
Has Version Numberin disputehasVersionNumber
Has Lower Ease of Integration Thanin disputehasLowerEaseOfIntegrationThan
- Faiss 1.7.3[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Hnswlib 0.9.2[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Milvus 2.3.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Qdrant 0.8.1[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Weaviate 1.14.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
Has Lower Uptime Thanin disputehasLowerUptimeThan
- Faiss 1.7.3[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Hnswlib 0.9.2[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Milvus 2.3.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Qdrant 0.8.1[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Weaviate 1.14.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
Has Lower Throughput Thanin disputehasLowerThroughputThan
- Faiss 1.7.3[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Hnswlib 0.9.2[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Milvus 2.3.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
Storage Size Exceedsin disputestorageSizeExceeds
- Faiss 1.7.3[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Hnswlib 0.9.2[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Milvus 2.3.0[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Qdrant 0.8.1[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Weaviate 1.14.0[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
Has Lower Precision Rate Thanin disputehasLowerPrecisionRateThan
- Milvus 2.3.0[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Qdrant 0.8.1[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
Has Lower Recall Rate Thanin disputehasLowerRecallRateThan
- Milvus 2.3.0[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Qdrant 0.8.1[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
Rdfs:labelrdfs:label
- Annoy 1.18.0[3]all time · 7962136c C338 4cc2 87ff Eaf945be2841
- Annoy 1.18.0[1]all time · 98bc9425 2e1a 436c 9385 948ebc2769f1
- Annoy 1.18.0[2]all time · 144b6238 Dbb6 458e 99d6 F284a5160b1f
- Annoy 1.18.0[4]all time · A8ba572b 8098 47b3 Ad98 468c4bc08014
- Annoy 1.18.0[5]all time · Af22a9fe 7b7b 4f1b A277 492b716acded
Has Memory UsagehasMemoryUsage
Row OrderrowOrder
- 3[1]all time · 98bc9425 2e1a 436c 9385 948ebc2769f1
Has Lowest F1 ScorehasLowestF1Score
- 0.935[1]all time · 98bc9425 2e1a 436c 9385 948ebc2769f1
Inbound mentions (21)
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.
inverseOfInverse of(4)
- Concurrency Support
ex:concurrency-support - F1 Score
ex:f1-score - Query Latency
ex:query-latency - Scalability
ex:scalability
hasHigherThroughputThanHas Higher Throughput Than(3)
- Faiss 1.7.3
ex:Faiss-1.7.3 - Hnswlib 0.9.2
ex:Hnswlib-0.9.2 - Milvus 2.3.0
ex:Milvus-2.3.0
hasLowerMemoryUsageThanHas Lower Memory Usage Than(3)
- Hnswlib 0.9.2
ex:Hnswlib-0.9.2 - Qdrant 0.8.1
ex:Qdrant-0.8.1 - Weaviate 1.14.0
ex:Weaviate-1.14.0
hasLowerStorageSizeThanHas Lower Storage Size Than(2)
- Milvus 2.3.0
ex:Milvus-2.3.0 - Qdrant 0.8.1
ex:Qdrant-0.8.1
notMeasuredForNot Measured for(2)
- Memory Usage
ex:memory_usage - Scalability
ex:scalability
containsLibraryContains Library(1)
- Matrix Data Structure
ex:matrix-data-structure
hasMemberHas Member(1)
- Vector Search Libraries
ex:vector-search-libraries
hasRowHas Row(1)
- Performance Matrix
ex:performance-matrix
isPrecisionRateOfIs Precision Rate of(1)
- 0.94
ex:0.94
isRecallRateOfIs Recall Rate of(1)
- 0.93
ex:0.93
isStorageSizeOfIs Storage Size of(1)
- 1500
ex:1500
measuredForMeasured for(1)
- Throughput
ex:throughput
Other facts (35)
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.
35 facts
| Predicate | Value | Ref |
|---|---|---|
| Has Lowest Concurrency Support | 0.8 | [1] |
| Has Lowest Scalability | 0.8 | [1] |
| Has Highest Query Latency | 250 | [1] |
| Concurrency Support | 0.8 | [1] |
| Scalability | 0.8 | [1] |
| Query Latency | 250 | [1] |
| F1 Score | 0.935 | [1] |
| Has Lowest Ease of Integration | true | [2] |
| Has Lowest Uptime | true | [2] |
| Has Lowest Throughput | true | [2] |
| Ease of Integration | 0.8 | [2] |
| Uptime | 0.997 | [2] |
| Throughput | 900 | [2] |
| Has Lowest Precision Rate Value | 0.94 | [4] |
| Has Lowest Recall Rate Value | 0.93 | [4] |
| Has Highest Storage Size Value | 1500 | [4] |
| Has Largest Storage Size Difference | true | [4] |
| Has Scalability Metric | false | [4] |
| Shares Precision Rate With | Hnswlib 0.9.2 | [4] |
| Has Lowest Precision Rate | true | [4] |
| Has Lowest Recall Rate | true | [4] |
| Has Largest Storage Size Value | 1500 | [4] |
| Has Largest Storage Size | true | [4] |
| Precision Rate | 0.94 | [4] |
| Recall Rate | 0.93 | [4] |
| Storage Size | 1500 | [4] |
| Has Indexing Time | 400 | [5] |
| Has Query Latency | 250 | [5] |
| Has Index Size | 1500 | [5] |
| Has Highest Storage Size | true | [3] |
| Has Highest Memory Usage | true | [3] |
| Is Member of | Vector Search Libraries | [3] |
| Has Precision Rate | 0.94 | [3] |
| Has Recall Rate | 0.93 | [3] |
| Has Storage Size | 1500 | [3] |
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.
—
concurrencySupportbeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.8
—
ease_of_integrationbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
0.8
—
f1Scorebeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.935
—
hasHighestMemoryUsagebeam/7962136c-c338-4cc2-87ff-eaf945be2841
true
—
hasHighestQueryLatencybeam/98bc9425-2e1a-436c-9385-948ebc2769f1
250
—
hasHighestStorageSizebeam/7962136c-c338-4cc2-87ff-eaf945be2841
true
—
hasHighestStorageSizeValuebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
1500
—
hasIndexingTimebeam/af22a9fe-7b7b-4f1b-a277-492b716acded
400
—
hasIndexSizebeam/af22a9fe-7b7b-4f1b-a277-492b716acded
1500
—
hasLargestStorageSizebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
true
—
hasLargestStorageSizeDifferencebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
true
—
hasLargestStorageSizeValuebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
1500
—
hasLowerEaseOfIntegrationThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Faiss-1.7.3
—
hasLowerEaseOfIntegrationThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Hnswlib-0.9.2
—
hasLowerEaseOfIntegrationThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Milvus-2.3.0
—
hasLowerEaseOfIntegrationThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Qdrant-0.8.1
—
hasLowerEaseOfIntegrationThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Weaviate-1.14.0
—
hasLowerPrecisionRateThanbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Milvus-2.3.0
—
hasLowerPrecisionRateThanbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Qdrant-0.8.1
—
hasLowerRecallRateThanbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Milvus-2.3.0
—
hasLowerRecallRateThanbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Qdrant-0.8.1
—
hasLowerThroughputThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Faiss-1.7.3
—
hasLowerThroughputThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Hnswlib-0.9.2
—
hasLowerThroughputThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Milvus-2.3.0
—
hasLowerUptimeThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Faiss-1.7.3
—
hasLowerUptimeThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Hnswlib-0.9.2
—
hasLowerUptimeThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Milvus-2.3.0
—
hasLowerUptimeThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Qdrant-0.8.1
—
hasLowerUptimeThanbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:Weaviate-1.14.0
—
hasLowestConcurrencySupportbeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.8
—
hasLowestEaseOfIntegrationbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
true
—
hasLowestF1Scorebeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.935
—
hasLowestPrecisionRatebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
true
—
hasLowestPrecisionRateValuebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
0.94
—
hasLowestRecallRatebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
true
—
hasLowestRecallRateValuebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
0.93
—
hasLowestScalabilitybeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.8
—
hasLowestThroughputbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
true
—
hasLowestUptimebeam/144b6238-dbb6-458e-99d6-f284a5160b1f
true
—
hasMemoryUsagebeam/af22a9fe-7b7b-4f1b-a277-492b716acded
600
—
hasMemoryUsagebeam/7962136c-c338-4cc2-87ff-eaf945be2841
600
—
hasPrecisionRatebeam/7962136c-c338-4cc2-87ff-eaf945be2841
0.94
—
hasQueryLatencybeam/af22a9fe-7b7b-4f1b-a277-492b716acded
250
—
hasRecallRatebeam/7962136c-c338-4cc2-87ff-eaf945be2841
0.93
—
hasScalabilityMetricbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
false
—
hasStorageSizebeam/7962136c-c338-4cc2-87ff-eaf945be2841
1500
—
hasVersionNumberbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
1.18.0
—
hasVersionNumberbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
1.18.0
—
isMemberOfbeam/7962136c-c338-4cc2-87ff-eaf945be2841
ex:vector-search-libraries
—
precision_ratebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
0.94
—
queryLatencybeam/98bc9425-2e1a-436c-9385-948ebc2769f1
250
—
labelbeam/7962136c-c338-4cc2-87ff-eaf945be2841
Annoy 1.18.0
—
labelbeam/98bc9425-2e1a-436c-9385-948ebc2769f1
Annoy 1.18.0
—
labelbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
Annoy 1.18.0
—
labelbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
Annoy 1.18.0
—
labelbeam/af22a9fe-7b7b-4f1b-a277-492b716acded
Annoy 1.18.0
—
typebeam/98bc9425-2e1a-436c-9385-948ebc2769f1
ex:VectorDatabase
—
typebeam/144b6238-dbb6-458e-99d6-f284a5160b1f
ex:VectorSearchLibrary
—
typebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:VectorSearchLibrary
—
typebeam/af22a9fe-7b7b-4f1b-a277-492b716acded
ex:VectorSearchLibrary
—
typebeam/7962136c-c338-4cc2-87ff-eaf945be2841
ex:VectorSearchLibrary
—
recall_ratebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
0.93
—
rowOrderbeam/98bc9425-2e1a-436c-9385-948ebc2769f1
3
—
scalabilitybeam/98bc9425-2e1a-436c-9385-948ebc2769f1
0.8
—
sharesPrecisionRateWithbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Hnswlib-0.9.2
—
storage_sizebeam/a8ba572b-8098-47b3-ad98-468c4bc08014
1500
—
storageSizeExceedsbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Faiss-1.7.3
—
storageSizeExceedsbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Hnswlib-0.9.2
—
storageSizeExceedsbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Milvus-2.3.0
—
storageSizeExceedsbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Qdrant-0.8.1
—
storageSizeExceedsbeam/a8ba572b-8098-47b3-ad98-468c4bc08014
ex:Weaviate-1.14.0
—
throughputbeam/144b6238-dbb6-458e-99d6-f284a5160b1f
900
—
uptimebeam/144b6238-dbb6-458e-99d6-f284a5160b1f
0.997
References (5)
5 references
- custom
ctx:claims/beam/98bc9425-2e1a-436c-9385-948ebc2769f1- full textbeam-chunktext/plain1 KB
doc:beam/98bc9425-2e1a-436c-9385-948ebc2769f1Show excerpt
matrix.loc['Annoy 1.18.0', 'f1_score'] = 0.935 matrix.loc['Hnswlib 0.9.2', 'f1_score'] = 0.945 matrix.loc['Qdrant 0.8.1', 'f1_score'] = 0.955 matrix.loc['Weaviate 1.19.0', 'f1_score'] = 0.945 matrix.loc['Milvus 2.3.0', 'query_latency'] = 2…
- custom
ctx:claims/beam/144b6238-dbb6-458e-99d6-f284a5160b1f- full textbeam-chunktext/plain1 KB
doc:beam/144b6238-dbb6-458e-99d6-f284a5160b1fShow excerpt
matrix.loc['Hnswlib 0.9.2', 'concurrency_support'] = 0.85 matrix.loc['Qdrant 0.8.1', 'concurrency_support'] = 0.9 matrix.loc['Weaviate 1.14.0', 'concurrency_support'] = 0.85 matrix.loc['Milvus 2.3.0', 'throughput'] = 1000 matrix.loc['Faiss…
- custom
ctx:claims/beam/7962136c-c338-4cc2-87ff-eaf945be2841- full textbeam-chunktext/plain1 KB
doc:beam/7962136c-c338-4cc2-87ff-eaf945be2841Show excerpt
matrix.loc['Annoy 1.18.0', 'memory_usage'] = 600 matrix.loc['Hnswlib 0.9.2', 'memory_usage'] = 580 matrix.loc['Qdrant 0.8.1', 'memory_usage'] = 520 matrix.loc['Weaviate 1.14.0', 'memory_usage'] = 560 matrix.loc['Milvus 2.3.0', 'storage_siz…
- custom
ctx:claims/beam/a8ba572b-8098-47b3-ad98-468c4bc08014 - custom
ctx:claims/beam/af22a9fe-7b7b-4f1b-a277-492b716acded- full textbeam-chunktext/plain1 KB
doc:beam/af22a9fe-7b7b-4f1b-a277-492b716acdedShow excerpt
matrix.loc['Hnswlib 0.9.2', 'search_time'] = 220 matrix.loc['Qdrant 0.8.1', 'search_time'] = 190 matrix.loc['Weaviate 1.14.0', 'search_time'] = 210 matrix.loc['Milvus 2.3.0', 'index_size'] = 1000 matrix.loc['Faiss 1.7.3', 'index_size'] = 1…
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