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Index Add

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

Index Add has 6 facts recorded in Dontopedia across 2 references.

6 facts·6 predicates·2 sources

Mostly:called on(1), precedes(1), purpose(1)

Maturity scale raw canonical shape-checked rule-derived certified

Called oncalledOn

  • Index[1]all time · 1230ce96 067d 46f5 8ea5 25c70af53f43

Precedesprecedes

Purposepurpose

  • Adds vectors to the index[2]sourceall time · 3f377ff8 5ab0 4f45 8051 3f8faa4ee182

Parameterparameter

  • vectors[2]sourceall time · 3f377ff8 5ab0 4f45 8051 3f8faa4ee182

Method NamemethodName

  • index.add[2]sourceall time · 3f377ff8 5ab0 4f45 8051 3f8faa4ee182

Rdf:typerdf:type

Inbound mentions (4)

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)

describesDescribes(1)

hasStepHas Step(1)

usedInUsed in(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.

6 undated
—
calledOnbeam/1230ce96-067d-46f5-8ea5-25c70af53f43
ex:index
—
methodNamebeam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
index.add
—
parameterbeam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
vectors
—
precedesbeam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
ex:index_search
—
purposebeam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
Adds vectors to the index
—
typebeam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
ex:MethodCall

References (2)

2 references
  1. [1]1230ce96 067d 46f5 8ea5 25c70af53f431 fact
    customctx:claims/beam/1230ce96-067d-46f5-8ea5-25c70af53f43
  2. [2]beam-chunk5 facts
    customctx:claims/beam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3f377ff8-5ab0-4f45-8051-3f8faa4ee182
      Show excerpt
      k = 10 # Number of nearest neighbors to retrieve distances, indices = index.search(query_vector, k) print("Distances:", distances) print("Indices:", indices) ``` ### Explanation 1. **FAISS Index**: - `faiss.IndexFlatL2`: Creates an i…

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