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Fast Search Times

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Fast Search Times has 10 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

10 facts·9 predicates·3 sources·1 in dispute

Mostly:rdfs:label(2), applies condition(1), formatted as(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdfs:labelin disputerdfs:label

  • fast search times[2]all time · 03c0955b 904b 4323 8c94 44e2f6dc6bc5
  • fast search times[3]sourceall time · 5322bb97 5c91 4db0 Bf82 Cf4a4ac41105

Applies ConditionappliesCondition

Formatted AsformattedAs

  • Bold Text[1]sourceall time · 8e6c777f 9605 43e5 99e6 7c765c605ac8

Typical Performancetypical-performance

  • sub-second-range[1]sourceall time · 8e6c777f 9605 43e5 99e6 7c765c605ac8

Descriptiondescription

  • designed-for-fast-search[1]sourceall time · 8e6c777f 9605 43e5 99e6 7c765c605ac8

Typical RangetypicalRange

  • Sub Second[1]sourceall time · 8e6c777f 9605 43e5 99e6 7c765c605ac8

Characteristic ofcharacteristicOf

Is Strength ofisStrengthOf

  • Hnsw[2]sourceall time · 03c0955b 904b 4323 8c94 44e2f6dc6bc5

Rdf:typerdf:type

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.

designedForDesigned for(2)

hasAdvantageHas Advantage(1)

hasPropertyHas Property(1)

hasSearchEfficiencyHas Search Efficiency(1)

hasStrengthHas Strength(1)

hasSubItemHas Sub Item(1)

includesIncludes(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.

10 undated
—
appliesConditionbeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
ex:large-datasets
—
characteristicOfbeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
ex:elasticsearch-8-9-0
—
descriptionbeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
designed-for-fast-search
—
formattedAsbeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
ex:bold-text
—
isStrengthOfbeam/03c0955b-904b-4323-8c94-44e2f6dc6bc5
ex:hnsw
—
labelbeam/03c0955b-904b-4323-8c94-44e2f6dc6bc5
fast search times
—
labelbeam/5322bb97-5c91-4db0-bf82-cf4a4ac41105
fast search times
—
typebeam/03c0955b-904b-4323-8c94-44e2f6dc6bc5
ex:IndexStrength
—
typical-performancebeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
sub-second-range
—
typicalRangebeam/8e6c777f-9605-43e5-99e6-7c765c605ac8
ex:sub-second

References (3)

3 references
  1. [1]beam-chunk6 facts
    customctx:claims/beam/8e6c777f-9605-43e5-99e6-7c765c605ac8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8e6c777f-9605-43e5-99e6-7c765c605ac8
      Show excerpt
      If you have any specific concerns or need further customization, feel free to ask! [Turn 5098] User: I'm evaluating the technology stack for my project, and I'm considering Elasticsearch 8.9.0 for sparse retrieval. I've heard it has a 150m…
  2. [2]beam-chunk3 facts
    customctx:claims/beam/03c0955b-904b-4323-8c94-44e2f6dc6bc5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/03c0955b-904b-4323-8c94-44e2f6dc6bc5
      Show excerpt
      - **Strengths**: Efficient in terms of memory usage and can handle large datasets well. - **Weaknesses**: May sacrifice some search accuracy for speed and reduced memory usage. 3. **HNSW (Hierarchical Navigable Small World)**: - *…
  3. [3]beam-chunk1 fact
    customctx:claims/beam/5322bb97-5c91-4db0-bf82-cf4a4ac41105
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5322bb97-5c91-4db0-bf82-cf4a4ac41105
      Show excerpt
      - For larger datasets (millions or more vectors), IVFPQ or HNSW are often better choices due to their efficiency in terms of memory and search speed. 2. **Search Latency Requirements**: - If you need very low search latency (under 20…

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