Dontopedia

vectorize_documents call

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

vectorize_documents call has 5 facts recorded in Dontopedia across 1 reference.

5 facts·4 predicates·1 sources

Mostly:rdf:type(1), invokes(1), passes argument(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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hasStepHas Step(1)

sequenceSequence(1)

Other facts (4)

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4 facts
PredicateValueRef
Rdf:typeFunction Invocation[1]
InvokesVectorize Documents Function[1]
Passes ArgumentDocuments Array[1]
Assigns ResultVectors Variable[1]

Timeline

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typebeam/eb6de05c-caac-4d49-924f-3462052d1139
ex:FunctionInvocation
labelbeam/eb6de05c-caac-4d49-924f-3462052d1139
vectorize_documents call
invokesbeam/eb6de05c-caac-4d49-924f-3462052d1139
ex:vectorize-documents-function
passesArgumentbeam/eb6de05c-caac-4d49-924f-3462052d1139
ex:documents-array
assignsResultbeam/eb6de05c-caac-4d49-924f-3462052d1139
ex:vectors-variable

References (1)

1 references
  1. ctx:claims/beam/eb6de05c-caac-4d49-924f-3462052d1139
    • full textbeam-chunk
      text/plain1 KBdoc:beam/eb6de05c-caac-4d49-924f-3462052d1139
      Show excerpt
      # Vectorization function with batch processing def vectorize_documents(documents, batch_size=1000): vectors = [] for i in range(0, len(documents), batch_size): batch = documents[i:i+batch_size] batch_vectors = [np.ra

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