Dontopedia

search_similar_vectors

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

search_similar_vectors has 34 facts recorded in Dontopedia across 3 references, with 5 live disagreements.

34 facts·16 predicates·3 sources·5 in dispute

Mostly:has parameter(6), returns(5), calls(4)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

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.

callsCalls(1)

containsContains(1)

definesDefines(1)

hasStepHas Step(1)

precedesPrecedes(1)

testsTests(1)

usedByUsed by(1)

usedInUsed in(1)

Other facts (31)

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.

31 facts
PredicateValueRef
Has ParameterQuery Vector[1]
Has ParameterK[1]
Has ParameterQuery Vector Parameter[2]
Has ParameterK Parameter[2]
Has ParameterQuery Vector[3]
Has ParameterK[3]
ReturnsDistances[1]
ReturnsIndices[1]
ReturnsDistances Indices Tuple[2]
ReturnsDistances[3]
ReturnsIndices[3]
CallsNormalize L2[1]
CallsSearch[1]
CallsIndex Search Method[2]
CallsIndex Search Method[3]
Rdf:typeSearch Function[1]
Rdf:typeFunction[2]
Rdf:typeSearch Function[3]
Has CommentNormalize Comment[1]
Has CommentSearch Comment[1]
Invoked WithQuery Vector Test[2]
Defined inHnsw Example[2]
Is Custom Functiontrue[2]
NormalizesQuery Vector[3]
SearchesSimilar Vectors[3]
UsesIndex[3]
ReshapesQuery Vector[3]
Reshape Parameter1 Negative 1[3]
Return TypeTuple of Arrays[3]
Default ParameterK Default 10[3]
EncapsulatesQuery Processing Logic[3]

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/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:SearchFunction
labelbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
search_similar_vectors
hasParameterbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:query-vector
hasParameterbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:k
returnsbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:distances
returnsbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:indices
callsbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:normalize_L2
callsbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:search
hasCommentbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:normalize-comment
hasCommentbeam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
ex:search-comment
typebeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:Function
labelbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
search_similar_vectors
hasParameterbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:query-vector-parameter
hasParameterbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:k-parameter
returnsbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:distances-indices-tuple
callsbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:index-search-method
invokedWithbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:query-vector-test
definedInbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
ex:hnsw-example
isCustomFunctionbeam/4acac4d0-910b-4fa1-96b2-afff0416f947
true
hasParameterbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:query-vector
hasParameterbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:k
normalizesbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:query-vector
searchesbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:similar-vectors
returnsbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:distances
returnsbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:indices
typebeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:SearchFunction
labelbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
search_similar_vectors
usesbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:index
reshapesbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:query-vector
callsbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:index-search-method
reshapeParameterbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:1-negative-1
returnTypebeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:tuple-of-arrays
defaultParameterbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:k-default-10
encapsulatesbeam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
ex:query-processing-logic

References (3)

3 references
  1. ctx:claims/beam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2c
  2. ctx:claims/beam/4acac4d0-910b-4fa1-96b2-afff0416f947
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4acac4d0-910b-4fa1-96b2-afff0416f947
      Show excerpt
      # Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an HNSW index M = 16 # Number of links per node efConstruction = 200 # Number of neighbors to consider during construction efSearch = 64 # Number of neig
  3. ctx:claims/beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd
      Show excerpt
      # Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an IVFPQ index nlist = 100 # Number of clusters m = 8 # Number of subquantizers index = faiss.IndexIVFPQ(faiss.IndexFlatL2(128), 128, nlist, m, 8) # 8 is

See also

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