Dontopedia

client.data_object.create

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

client.data_object.create has 15 facts recorded in Dontopedia across 7 references, with 3 live disagreements.

15 facts·7 predicates·7 sources·3 in dispute

Mostly:rdf:type(6), has parameter(2), takes parameter(2)

Maturity scale raw canonical shape-checked rule-derived certified

Full NamefullName

  • client.data_object.create[1]all time · F80d8de8 0d2a 446e Ac9c Fc4672dce4f0

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.

containsCallContains Call(1)

containsMethodContains Method(1)

hasMethodHas Method(1)

inverseOfInverse of(1)

performsOperationPerforms Operation(1)

usesMethodUses Method(1)

Other facts (13)

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.

13 facts
PredicateValueRef
Rdf:typeMethod[1]
Rdf:typeWeaviate Client Method[2]
Rdf:typeMethod Call[3]
Rdf:typeCreate Method[4]
Rdf:typeWeaviate Api Operation[6]
Rdf:typeData Ingestion Operation[7]
Has ParameterData Item[1]
Has ParameterClass Name[1]
Takes Parameterclass-name[6]
Takes Parameterproperties-dict[6]
Called onWeaviate[3]
Takes ArgumentData Item[3]
Accepts DictData Object Dict[5]

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/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
ex:Method
fullNamebeam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
client.data_object.create
hasParameterbeam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
ex:data-item
hasParameterbeam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
ex:class-name
typebeam/131a150d-00ba-472b-bdc7-209aa22bc91d
ex:WeaviateClientMethod
typebeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:MethodCall
labelbeam/ea34a816-3421-425e-97a9-50206b2c6248
client.data_object.create
calledOnbeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:weaviate
takesArgumentbeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:data-item
typebeam/7930b608-9757-4a86-9aa2-c6ca10571913
ex:CreateMethod
acceptsDictbeam/1ee8d86d-1691-454d-8f31-63c8edc91435
ex:data-object-dict
typebeam/149dec1b-3c49-4cff-a826-bc9175d778ec
ex:WeaviateAPIOperation
takesParameterbeam/149dec1b-3c49-4cff-a826-bc9175d778ec
class-name
takesParameterbeam/149dec1b-3c49-4cff-a826-bc9175d778ec
properties-dict
typebeam/9d96f8cb-54e9-48bd-a699-50a1796601b9
ex:DataIngestionOperation

References (7)

7 references
  1. ctx:claims/beam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0
      Show excerpt
      # Create the schema in Weaviate client.schema.create_class(schema) print("Schema created successfully.") ``` #### Inserting Data When inserting data, you can specify which vector property to use based on the vector size. ```python # Add
  2. ctx:claims/beam/131a150d-00ba-472b-bdc7-209aa22bc91d
  3. ctx:claims/beam/ea34a816-3421-425e-97a9-50206b2c6248
  4. ctx:claims/beam/7930b608-9757-4a86-9aa2-c6ca10571913
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7930b608-9757-4a86-9aa2-c6ca10571913
      Show excerpt
      self.name = name self.vector = vector # Add some test data test_data = [ TestData("Test 1", [0.1, 0.2, 0.3]), TestData("Test 2", [0.4, 0.5, 0.6]), ] # Upload the test data to Weaviate for data in test_data: cli
  5. ctx:claims/beam/1ee8d86d-1691-454d-8f31-63c8edc91435
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1ee8d86d-1691-454d-8f31-63c8edc91435
      Show excerpt
      # Create a Weaviate client client = weaviate.Client("http://localhost:8080") # Create a class for our data class TestData: def __init__(self, name, vector): self.name = name self.vector = vector # Add some test data te
  6. ctx:claims/beam/149dec1b-3c49-4cff-a826-bc9175d778ec
    • full textbeam-chunk
      text/plain1 KBdoc:beam/149dec1b-3c49-4cff-a826-bc9175d778ec
      Show excerpt
      [Turn 4940] User: I'm trying to assess Weaviate 1.20.0 for its search time on 300K vectors, but I'm having trouble understanding how it compares to other alternatives like FAISS 1.7.4, which I've also been testing for its 180ms search time
  7. ctx:claims/beam/9d96f8cb-54e9-48bd-a699-50a1796601b9

See also

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