Dontopedia

client

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

client has 22 facts recorded in Dontopedia across 8 references, with 4 live disagreements.

22 facts·8 predicates·8 sources·4 in dispute

Mostly:rdf:type(7), used in(5), assigned value(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (9)

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.

partOfPart of(3)

assignedToAssigned to(1)

assignsToAssigns to(1)

containsVariableContains Variable(1)

hasIdentifierHas Identifier(1)

instantiatedWithInstantiated With(1)

passesArgumentPasses Argument(1)

Other facts (19)

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.

19 facts
PredicateValueRef
Rdf:typeVariable[1]
Rdf:typeVariable[2]
Rdf:typeVariable[3]
Rdf:typeProgramming Variable[4]
Rdf:typeApi Client[5]
Rdf:typeHttp Client Instance[6]
Rdf:typeVariable[8]
Used inSchema Create Method[2]
Used inData Insert Loop[2]
Used inQuery Operation[2]
Used inSchema Creation[3]
Used inQuery Execution[3]
Assigned ValueWeaviate Client Instance[2]
Assigned ValueRedis Client[8]
Instantiates Classweaviate.Client[2]
Assigned Expressionweaviate.Client("http://localhost:8080")[2]
Typeweaviate.Client[2]
RepresentsWeaviate Client Instance[4]
Assigned toBoto3.client[7]

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/db67bd38-8395-416c-8dff-e8377d328fec
ex:Variable
typebeam/e3b0d393-cb26-4e01-b5f0-47981803de05
ex:Variable
assignedValuebeam/e3b0d393-cb26-4e01-b5f0-47981803de05
ex:weaviate-client-instance
instantiatesClassbeam/e3b0d393-cb26-4e01-b5f0-47981803de05
weaviate.Client
usedInbeam/e3b0d393-cb26-4e01-b5f0-47981803de05
ex:schema-create-method
usedInbeam/e3b0d393-cb26-4e01-b5f0-47981803de05
ex:data-insert-loop
usedInbeam/e3b0d393-cb26-4e01-b5f0-47981803de05
ex:query-operation
assignedExpressionbeam/e3b0d393-cb26-4e01-b5f0-47981803de05
weaviate.Client("http://localhost:8080")
typebeam/e3b0d393-cb26-4e01-b5f0-47981803de05
weaviate.Client
typebeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
ex:Variable
usedInbeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
ex:schema-creation
usedInbeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
ex:query-execution
typebeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:ProgrammingVariable
labelbeam/ea34a816-3421-425e-97a9-50206b2c6248
client Variable
representsbeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:weaviate-client-instance
typebeam/67724344-b3d2-423c-80c5-69bbb9a06fdd
ex:APIClient
typebeam/0d495c96-9a6c-4751-b012-245faafa9739
ex:HTTPClientInstance
labelbeam/0d495c96-9a6c-4751-b012-245faafa9739
client
assignedTobeam/ec67cebe-caac-4f0e-a9e2-5ac79929ebf4
ex:boto3.client
typebeam/5bb2318e-5790-41e6-83b8-f34e1285a717
ex:Variable
labelbeam/5bb2318e-5790-41e6-83b8-f34e1285a717
client
assignedValuebeam/5bb2318e-5790-41e6-83b8-f34e1285a717
ex:redis-client

References (8)

8 references
  1. ctx:claims/beam/db67bd38-8395-416c-8dff-e8377d328fec
    • full textbeam-chunk
      text/plain1 KBdoc:beam/db67bd38-8395-416c-8dff-e8377d328fec
      Show excerpt
      response = requests.get("https://api.example.com/endpoint") return response.json() else: # Handle rate limit exceeded print("Rate limit exceeded") return None # Create an
  2. ctx:claims/beam/e3b0d393-cb26-4e01-b5f0-47981803de05
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e3b0d393-cb26-4e01-b5f0-47981803de05
      Show excerpt
      client = weaviate.Client("http://localhost:8080") # Define the schema schema = { "class": "MyClass", "properties": [ {"name": "my_text_property", "dataType": ["text"]}, {"name": "my_vector_property", "dataType": ["v
  3. ctx:claims/beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
      Show excerpt
      print("Query successful:") print(result) ``` ### Example with Vector Search If you want to perform a vector search and retrieve both text and vector data, you can use the `nearVector` filter: ```python # Perform a vector search query_vec
  4. ctx:claims/beam/ea34a816-3421-425e-97a9-50206b2c6248
  5. ctx:claims/beam/67724344-b3d2-423c-80c5-69bbb9a06fdd
    • full textbeam-chunk
      text/plain1 KBdoc:beam/67724344-b3d2-423c-80c5-69bbb9a06fdd
      Show excerpt
      # Allocate resources to tasks for task in prioritized_tasks: # Determine the team member to assign the task to team_member_id = determine_team_member(task) # Assign the task to the team member client.tasks.update(task["
  6. ctx:claims/beam/0d495c96-9a6c-4751-b012-245faafa9739
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0d495c96-9a6c-4751-b012-245faafa9739
      Show excerpt
      response = await client.get("http://localhost:8000/api/v1/sparse-search") if response.status_code == 200: print(response.json()) else: raise HTTPException(status_code=response.status_code) #
  7. ctx:claims/beam/ec67cebe-caac-4f0e-a9e2-5ac79929ebf4
  8. ctx:claims/beam/5bb2318e-5790-41e6-83b8-f34e1285a717

See also

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