Dontopedia

Refine Indexing Logic

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Refine Indexing Logic has 25 facts recorded in Dontopedia across 2 references, with 4 live disagreements.

25 facts·19 predicates·2 sources·4 in dispute

Mostly:has parameter(4), rdf:type(2), performs action(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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.

describesDescribes(1)

hasFunctionHas Function(1)

usedByUsed by(1)

Other facts (25)

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.

25 facts
PredicateValueRef
Has ParameterIndex Parameter[1]
Has ParameterDocument Embeddings Parameter[1]
Has ParameterQuery Embedding Parameter[1]
Has ParameterK Parameter[1]
Rdf:typePython Function[1]
Rdf:typeFunction[1]
Performs ActionAdd Document Embeddings[1]
Performs ActionSearch Index[1]
Returns on SuccessDistances[1]
Returns on SuccessIndices[1]
ReturnsDistances Indices[1]
Has Exception HandlingTry Except Block[1]
Returns on ExceptionNone[1]
Prints on ErrorError Message[1]
Parameter OrderIndex First[1]
Exception TypeException[1]
K Value10[1]
Called AfterIndex Initialization[1]
Comment BeforeRefine Comment[1]
Search ParameterK[1]
Never Calledtrue[1]
Has Return ValueDistances Indices Tuple[1]
Has Exception HandlerExcept Block[1]
Never Called in Scripttrue[1]
Is Function NameCustom Function[2]

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/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:PythonFunction
hasParameterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:index-parameter
hasParameterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:document-embeddings-parameter
hasParameterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:query-embedding-parameter
hasParameterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:k-parameter
returnsbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:distances-indices
hasExceptionHandlingbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:try-except-block
performsActionbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:add-document-embeddings
performsActionbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:search-index
returnsOnSuccessbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:distances
returnsOnSuccessbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:indices
returnsOnExceptionbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:none
printsOnErrorbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:error-message
parameterOrderbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:index-first
exceptionTypebeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:Exception
kValuebeam/e4762ba4-92ad-42cd-b666-a7f736830e81
10
calledAfterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:index-initialization
commentBeforebeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:refine-comment
searchParameterbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:k
neverCalledbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
true
typebeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:Function
hasReturnValuebeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:distances-indices-tuple
hasExceptionHandlerbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
ex:except-block
neverCalledInScriptbeam/e4762ba4-92ad-42cd-b666-a7f736830e81
true
isFunctionNamebeam/bf9e1ee0-affd-472d-a318-e3a094624cff
ex:custom-function

References (2)

2 references
  1. ctx:claims/beam/e4762ba4-92ad-42cd-b666-a7f736830e81
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e4762ba4-92ad-42cd-b666-a7f736830e81
      Show excerpt
      Here's an improved version of your code incorporating these suggestions: ```python import numpy as np import faiss # Initialize the FAISS index outside the function def initialize_faiss_index(dim, use_gpu=False): if use_gpu: r
  2. ctx:claims/beam/bf9e1ee0-affd-472d-a318-e3a094624cff
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bf9e1ee0-affd-472d-a318-e3a094624cff
      Show excerpt
      distances, indices = index.search(query_embedding, k=10) return distances, indices document_embeddings = np.random.rand(200000, 512).astype('float32') query_embedding = np.random.rand(1, 512).astype('float32') distances, indices

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