Dontopedia

Matrix Data

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

Matrix Data has 5 facts recorded in Dontopedia across 4 references.

5 facts·5 predicates·4 sources

Mostly:generated by(1), data structure(1), is sample data(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (4)

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basedOnBased on(1)

modifiesModifies(1)

queriesQueries(1)

usesUses(1)

Other facts (5)

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.

5 facts
PredicateValueRef
Generated byPython Pandas[1]
Data StructureLocation Based Indexing[1]
Is Sample DataTrue[2]
Rdf:typeComparative Data[3]
Contains LibraryMilvus 2.3.0[4]

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.

5 undated
—
generatedBybeam/7de81f33-0873-49df-9750-e71210382767
ex:python-pandas
—
dataStructurebeam/7de81f33-0873-49df-9750-e71210382767
ex:location-based-indexing
—
isSampleDatabeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
ex:true
—
typebeam/92df79b7-23d1-48bf-b715-dabb66f6c12b
ex:ComparativeData
—
containsLibrarybeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f
ex:milvus-2.3.0

References (4)

4 references
  1. [1]7de81f33 0873 49df 9750 E712103827672 facts
    ctx:claims/beam/7de81f33-0873-49df-9750-e71210382767
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7de81f33-0873-49df-9750-e71210382767
      Show excerpt
      matrix.loc['Faiss 1.7.3', 'scalability'] = 0.85 matrix.loc['Annoy 1.18.0', 'scalability'] = 0.8 matrix.loc['Hnswlib 0.9.2', 'scalability'] = 0.85 matrix.loc['Qdrant 0.8.1', 'scalability'] = 0.9 matrix.loc['Weaviate 1.14.0', 'scalability'] =…
  2. [2]F046bfd3 C03b 4abb 8935 1462ceeedfa61 fact
    ctx:claims/beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
      Show excerpt
      # Define the databases to compare databases = ['Milvus 2.3.0', 'Faiss 1.7.3', 'Annoy 1.18.0', 'Hnswlib 0.9.2', 'Qdrant 0.8.1', 'Weaviate 1.14.0'] # Define the performance metrics to compare metrics = [ 'search_time', 'indexing_time', '…
  3. [3]92df79b7 23d1 48bf B715 Dabb66f6c12b1 fact
    ctx:claims/beam/92df79b7-23d1-48bf-b715-dabb66f6c12b
    • full textbeam-chunk
      text/plain884 Bdoc:beam/92df79b7-23d1-48bf-b715-dabb66f6c12b
      Show excerpt
      matrix.loc['Qdrant 0.8.1', 'security_features'] = 'Encryption, Access Control' matrix.loc['Weaviate 1.14.0', 'security_features'] = 'Encryption, Access Control' print(matrix) ``` ### Summary and Recommendation After filling in the matrix …
  4. [4]8d93ca4e Fed2 4c20 Bf07 6ffa8a290e9f1 fact
    ctx:claims/beam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f
      Show excerpt
      matrix.loc['Faiss 1.7.3', 'throughput'] = 950 matrix.loc['Annoy 1.18.0', 'throughput'] = 900 matrix.loc['Hnswlib 0.9.2', 'throughput'] = 930 matrix.loc['Qdrant 0.8.1', 'throughput'] = 1020 matrix.loc['Weaviate 1.19.0', 'throughput'] = 980 …

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