Dontopedia

search_results

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

search_results has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

7 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Other facts (4)

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.

4 facts
PredicateValueRef
Rdf:typeVariable[1]
Rdf:typeArray Variable[2]
Rdf:typeVariable[3]
Holds Return ofSearch Method[1]

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/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:variable
labelbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
search_results
holdsReturnOfbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:search-method
typebeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
ex:ArrayVariable
labelbeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
search_results
typebeam/71b02d54-2e3e-4209-bc15-830d649e8e90
ex:Variable
labelbeam/71b02d54-2e3e-4209-bc15-830d649e8e90
search_results

References (3)

3 references
  1. ctx:claims/beam/3c5f5c5b-6881-4f14-9961-c13194b540b4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3c5f5c5b-6881-4f14-9961-c13194b540b4
      Show excerpt
      # Define the vector database class VectorDatabase: def __init__(self): self.vectors = [] def add_vector(self, vector): self.vectors.append(vector) def search(self, query_vector, top_k=10): # Calculate t
  2. ctx: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. ctx:claims/beam/71b02d54-2e3e-4209-bc15-830d649e8e90
    • full textbeam-chunk
      text/plain1 KBdoc:beam/71b02d54-2e3e-4209-bc15-830d649e8e90
      Show excerpt
      tokens = self.tokenizer.convert_ids_to_tokens(inputs['input_ids'][0]) return tokens def search(self, query): tokens = self.tokenize(query) # Perform search using the tokens return tokens # I

See also

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