Dontopedia

IVFLAT Index

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

IVFLAT Index has 9 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

9 facts·7 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), is suitable for(1), has parameter(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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.

belongsToManyBelongs to Many(1)

recommendedIndexTypeRecommended Index Type(1)

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeIndex Type[1]
Rdf:typeIndex Algorithm[2]
Is Suitable forStarting Point[1]
Has ParameterNprobe Parameter[1]
Is Not Only Optiontrue[1]
Is First Index Mentionedtrue[1]
Is Suggested As Starting Pointtrue[1]
Assigned AsIndex Type[2]

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.

typebeam/bb8ec983-5db9-472d-8703-fe5572813102
ex:index-type
isSuitableForbeam/bb8ec983-5db9-472d-8703-fe5572813102
ex:starting-point
hasParameterbeam/bb8ec983-5db9-472d-8703-fe5572813102
ex:nprobe-parameter
isNotOnlyOptionbeam/bb8ec983-5db9-472d-8703-fe5572813102
true
isFirstIndexMentionedbeam/bb8ec983-5db9-472d-8703-fe5572813102
true
isSuggestedAsStartingPointbeam/bb8ec983-5db9-472d-8703-fe5572813102
true
typebeam/f26def45-173a-483e-9e9d-ae42681fa404
ex:IndexAlgorithm
labelbeam/f26def45-173a-483e-9e9d-ae42681fa404
IVFLAT Index
assignedAsbeam/f26def45-173a-483e-9e9d-ae42681fa404
ex:index-type

References (2)

2 references
  1. ctx:claims/beam/bb8ec983-5db9-472d-8703-fe5572813102
    • full textbeam-chunk
      text/plain1001 Bdoc:beam/bb8ec983-5db9-472d-8703-fe5572813102
      Show excerpt
      Can you help me optimize my code to reduce the retrieval time? Maybe there's a better way to use the cached dense results? ->-> 9,25 [Turn 7659] Assistant: Certainly! Optimizing retrieval times in a vector database like Milvus involves sev
  2. ctx:claims/beam/f26def45-173a-483e-9e9d-ae42681fa404

See also

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