From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Qdrant 0.8.1 has 72 facts recorded in Dontopedia across 6 references, with 8 live disagreements.
Mostly:rdf:type(6), has performance metric(5), rdfs:label(5)
hasVersionNumberhasLowestMemoryUsagehasPerformanceMetrichasHigherConcurrencySupportThanhasHigherThroughputThanhasLowerStorageSizeThanhasLowerMemoryUsageThanrdfs:labelhasSecondLowestQueryLatencyhasHighestF1ScoreOther 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)ex:concurrency-supportex:f1-scoreex:query-latencyex:scalabilityhasHigherMemoryUsageThanHas Higher Memory Usage Than(2)ex:Hnswlib-0.9.2ex:Weaviate-1.14.0hasLowerThroughputThanHas Lower Throughput Than(2)ex:Milvus-2.3.0ex:Weaviate-1.14.0measuredForMeasured for(2)ex:concurrency_supportex:throughputmemoryUsageExceedsMemory Usage Exceeds(2)ex:Hnswlib-0.9.2ex:Weaviate-1.14.0sharesPrecisionRateWithShares Precision Rate With(2)ex:Milvus-2.3.0ex:Milvus-2.3.0sharesRecallRateWithShares Recall Rate With(2)ex:Milvus-2.3.0ex:Milvus-2.3.0containsLibraryContains Library(1)ex:matrix-data-structurehasHighestF1ScoreHas Highest F1 Score(1)ex:Milvus-2.3.0hasLowerEaseOfIntegrationThanHas Lower Ease of Integration Than(1)ex:Annoy-1.18.0hasLowerPrecisionRateThanHas Lower Precision Rate Than(1)ex:Annoy-1.18.0hasLowerRecallRateThanHas Lower Recall Rate Than(1)ex:Annoy-1.18.0hasLowerStorageSizeThanHas Lower Storage Size Than(1)ex:Milvus-2.3.0hasLowerUptimeThanHas Lower Uptime Than(1)ex:Annoy-1.18.0hasMemberHas Member(1)ex:vector-search-librarieshasRowHas Row(1)ex:performance-matrixisMemoryUsageOfIs Memory Usage of(1)ex:520isPrecisionRateOfIs Precision Rate of(1)ex:0.96isRecallRateOfIs Recall Rate of(1)ex:0.95isStorageSizeOfIs Storage Size of(1)ex:1100notMeasuredForNot Measured for(1)ex:scalabilityonlyMeasuredForOnly Measured for(1)ex:memory_usagesharesIdenticalMetricsWithShares Identical Metrics With(1)ex:Milvus-2.3.0sharesScalabilityWithShares Scalability With(1)ex:Milvus-2.3.0storageSizeExceedsStorage Size Exceeds(1)ex:Annoy-1.18.0The 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 |
|---|---|---|
| Concurrency Support | 0.9 | [2] |
| Scalability | 0.9 | [2] |
| Query Latency | 210 | [2] |
| F1 Score | 0.955 | [2] |
| Has Throughput | High Throughput | [3] |
| Has Search Time | Low Search Time | [3] |
| Has F1 Score | F1 Scores | [3] |
| Has Precision | Superior Precision | [3] |
| Has Recall | Superior Recall | [3] |
| Has Concurrency Support | 0.9 | [1] |
| Has Highest Concurrency Support | true | [1] |
| Has Highest Ease of Integration | true | [1] |
| Has Highest Uptime | true | [1] |
| Has Highest Throughput | true | [1] |
| Ease of Integration | 0.9 | [1] |
| Uptime | 0.999 | [1] |
| Throughput | 1020 | [1] |
| Concurrency Support | 0.9 | [1] |
| Storage Size Is Fifth Largest | true | [4] |
| Tied for Highest Precision Rate | true | [4] |
| Tied for Highest Recall Rate | true | [4] |
| Has Lowest Memory Usage Value | 520 | [4] |
| Has Scalability Metric | false | [4] |
| Has Highest Precision Rate | true | [4] |
| Has Highest Recall Rate | true | [4] |
| Precision Rate | 0.96 | [4] |
| Recall Rate | 0.95 | [4] |
| Storage Size | 1100 | [4] |
| Memory Usage | 520 | [4] |
| Has Indexing Time | 320 | [5] |
| Has Query Latency | 210 | [5] |
| Has Search Time | 190 | [5] |
| Has Index Size | 1100 | [5] |
| Is Member of | Vector Search Libraries | [6] |
| Has Precision Rate | 0.96 | [6] |
| Has Recall Rate | 0.95 | [6] |
| Has Storage Size | 1100 | [6] |
| Has Memory Usage | 520 | [6] |
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.
doc:beam/144b6238-dbb6-458e-99d6-f284a5160b1fmatrix.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…
doc:beam/98bc9425-2e1a-436c-9385-948ebc2769f1matrix.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…
doc:beam/854895db-e17a-401e-917b-ddd3a3b97e12Based on the current data, Milvus 2.3.0 and Qdrant 0.8.1 appear to be the best choices due to their superior recall, precision, and F1 scores, along with low search time and high throughput. Further evaluation of other metrics such as scala…
doc:beam/af22a9fe-7b7b-4f1b-a277-492b716acdedmatrix.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…
doc:beam/7962136c-c338-4cc2-87ff-eaf945be2841matrix.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…
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