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Faiss 1.7.3

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

Faiss 1.7.3 has 9 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

9 facts·6 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), rdfs:label(2), search time(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Rdfs:labelrdfs:label

  • Faiss 1.7.3[1]sourceall time · 4c0b780e 77bc 43f6 89c0 9fc02ba7ab53
  • Faiss 1.7.3[2]all time · Da04535a 2bc8 4334 9bca F9b43cd01117

Search TimesearchTime

  • 200[1]sourceall time · 4c0b780e 77bc 43f6 89c0 9fc02ba7ab53
  • 200[2]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117

Memory UsagememoryUsage

  • 550[2]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117

Indexing TimeindexingTime

  • 350[2]sourceall time · Da04535a 2bc8 4334 9bca F9b43cd01117

Has VersionhasVersion

  • 1.7.3[1]sourceall time · 4c0b780e 77bc 43f6 89c0 9fc02ba7ab53

Inbound mentions (6)

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.

measuredForMeasured for(3)

hasMemberHas Member(1)

hasRowIndexHas Row Index(1)

outperformsOutperforms(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.

hasVersionbeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
1.7.3
indexingTimebeam/da04535a-2bc8-4334-9bca-f9b43cd01117
350
memoryUsagebeam/da04535a-2bc8-4334-9bca-f9b43cd01117
550
labelbeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
Faiss 1.7.3
labelbeam/da04535a-2bc8-4334-9bca-f9b43cd01117
Faiss 1.7.3
typebeam/da04535a-2bc8-4334-9bca-f9b43cd01117
ex:Database
typebeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
ex:VectorDatabase
searchTimebeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
200
searchTimebeam/da04535a-2bc8-4334-9bca-f9b43cd01117
200

References (2)

2 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
      Show excerpt
      matrix = pd.DataFrame(index=databases, columns=metrics) # Fill in the matrix with sample data matrix.loc['Milvus 2.3.0', 'search_time'] = 180 matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 ma
  2. [2]beam-chunk5 facts
    customctx:claims/beam/da04535a-2bc8-4334-9bca-f9b43cd01117
    • full textbeam-chunk
      text/plain1 KBdoc:beam/da04535a-2bc8-4334-9bca-f9b43cd01117
      Show excerpt
      'search_time', 'indexing_time', 'memory_usage', 'storage_size', 'recall_rate', 'precision_rate', 'f1_score', 'query_latency', 'scalability', 'concurrency_support', 'throughput', 'uptime', 'ease_of_integration', 'community_su

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