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Search Params Dict

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

Search Params Dict has 9 facts recorded in Dontopedia across 3 references, with 3 live disagreements.

9 facts·6 predicates·3 sources·3 in dispute

Mostly:rdfs:label(2), rdf:type(2), contains key(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdfs:labelin disputerdfs:label

  • Search Parameters Dictionary[1]all time · F26def45 173a 483e 9e9d Ae42681fa404
  • search_params[2]all time · 202a3697 E562 4fba Bbf7 Cecbb06b3cd0

Rdf:typein disputerdf:type

Contains Keyin disputecontainsKey

  • params[2]sourceall time · 202a3697 E562 4fba Bbf7 Cecbb06b3cd0
  • metric_type[2]sourceall time · 202a3697 E562 4fba Bbf7 Cecbb06b3cd0

Contains Params KeycontainsParamsKey

  • params[3]sourceall time · 97be8b15 C3b6 4489 B398 6a37a9bde5f9

Contains Metric Type KeycontainsMetricTypeKey

  • metric_type[3]sourceall time · 97be8b15 C3b6 4489 B398 6a37a9bde5f9

Containscontains

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.

containsbeam/f26def45-173a-483e-9e9d-ae42681fa404
ex:nprobe-parameter
containsKeybeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
params
containsKeybeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
metric_type
containsMetricTypeKeybeam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
metric_type
containsParamsKeybeam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
params
labelbeam/f26def45-173a-483e-9e9d-ae42681fa404
Search Parameters Dictionary
labelbeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
search_params
typebeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
ex:Dictionary
typebeam/f26def45-173a-483e-9e9d-ae42681fa404
ex:PythonDictionary

References (3)

3 references
  1. customctx:claims/beam/f26def45-173a-483e-9e9d-ae42681fa404
  2. [2]beam-chunk4 facts
    customctx:claims/beam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
      Show excerpt
      # Simulate memory usage and storage size memory_usage = len(vectors) * 128 * 8 / (1024 * 1024) # in MB storage_size = memory_usage # Assuming similar size for simplicity results['memory_usage'] = memory_usage results['
  3. [3]beam-chunk2 facts
    customctx:claims/beam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
      Show excerpt
      collection_name = "my_collection" collection = Collection(name=collection_name, schema=schema) # Check if the index is built index_info = collection.describe_index() if index_info["params"] == {}: print("Index not built. Rebuilding the

See also

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