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Qdrant

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

Qdrant has 19 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

19 facts·14 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), rdfs:label(3), query latency lower than(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Query Latency Lower Thanin disputequeryLatencyLowerThan

Rdfs:labelrdfs:label

  • Qdrant[1]sourceall time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f
  • Qdrant[2]all time · 63063c97 1ded 45a2 9117 C21c3bcc4f66
  • Qdrant[3]sourceall time · 475e93cf 7217 4357 9d01 D4dc6e10f13a

May Be Easier to IntegratemayBeEasierToIntegrate

  • true[2]sourceall time · 63063c97 1ded 45a2 9117 C21c3bcc4f66

Has Slightly Lower PerformancehasSlightlyLowerPerformance

  • true[2]sourceall time · 63063c97 1ded 45a2 9117 C21c3bcc4f66

Has CosthasCost

  • 115[2]sourceall time · 63063c97 1ded 45a2 9117 C21c3bcc4f66

Has Community SupporthasCommunitySupport

  • 0.82[2]sourceall time · 63063c97 1ded 45a2 9117 C21c3bcc4f66

Memory Usage Higher ThanmemoryUsageHigherThan

Indexing Time Higher ThanindexingTimeHigherThan

F1 Score Lower Thanf1ScoreLowerThan

  • Hnswlib[1]all time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f

Memory Usagememory_usage

  • 530[1]sourceall time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f

Indexing Timeindexing_time

  • 330[1]sourceall time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f

Inbound mentions (15)

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.

f1ScoreExceedsF1 Score Exceeds(2)

queryLatencyHigherThanQuery Latency Higher Than(2)

containsMemberContains Member(1)

f1ScoreEqualF1 Score Equal(1)

f1ScoreLowerThanF1 Score Lower Than(1)

hasEnginesHas Engines(1)

indexingTimeHigherThanIndexing Time Higher Than(1)

indexingTimeLowerThanIndexing Time Lower Than(1)

isMeasuredForIs Measured for(1)

memoryUsageHigherThanMemory Usage Higher Than(1)

memoryUsageLowerThanMemory Usage Lower Than(1)

queryLatencyLowerThanQuery Latency Lower Than(1)

tiesWithTies With(1)

Other facts (2)

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.

2 facts
PredicateValueRef
Query Latency230[1]
F1 Score0.72[1]

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.

f1_scorebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
0.72
f1ScoreLowerThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Hnswlib
hasCommunitySupportbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
0.82
hasCostbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
115
hasSlightlyLowerPerformancebeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
true
indexing_timebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
330
indexingTimeHigherThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Sparse-Retrieval
mayBeEasierToIntegratebeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
true
memory_usagebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
530
memoryUsageHigherThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Sparse-Retrieval
query_latencybeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
230
queryLatencyLowerThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Dense-Passage-Retriever
queryLatencyLowerThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:DPR
labelbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
Qdrant
labelbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
Qdrant
labelbeam/475e93cf-7217-4357-9d01-d4dc6e10f13a
Qdrant
typebeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
ex:InformationRetrievalSystem
typebeam/475e93cf-7217-4357-9d01-d4dc6e10f13a
ex:RetrievalEngine
typebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:RetrievalSystem

References (3)

3 references
  1. [1]beam-chunk11 facts
    customctx:claims/beam/d26a5287-fb4f-4619-b610-ba0ca857b51f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d26a5287-fb4f-4619-b610-ba0ca857b51f
      Show excerpt
      matrix.loc['Dense Passage Retriever', 'f1_score'] = .72 matrix.loc['Sparse Retrieval', 'f1_score'] = 0.92 matrix.loc['Faiss', 'f1_score'] = 0.62 matrix.loc['Hnswlib', 'f1_score'] = 0.82 matrix.loc['Qdrant', 'f1_score'] = 0.72 matrix.loc['D
  2. [2]beam-chunk6 facts
    customctx:claims/beam/63063c97-1ded-45a2-9117-c21c3bcc4f66
    • full textbeam-chunk
      text/plain1 KBdoc:beam/63063c97-1ded-45a2-9117-c21c3bcc4f66
      Show excerpt
      matrix.loc['Dense Passage Retriever', 'community_support'] = 0.85 matrix.loc['Sparse Retrieval', 'community_support'] = 0.95 matrix.loc['Faiss', 'community_support'] = 0.8 matrix.loc['Hnswlib', 'community_support'] = 0.88 matrix.loc['Qdrant
  3. [3]beam-chunk2 facts
    customctx:claims/beam/475e93cf-7217-4357-9d01-d4dc6e10f13a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/475e93cf-7217-4357-9d01-d4dc6e10f13a
      Show excerpt
      This enhanced report provides a more comprehensive analysis and helps you make a more informed decision about which vector database to use for your RAG system. [Turn 2210] User: I'm trying to evaluate the performance of different sparse re

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