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Vectors

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

Vectors has 17 facts recorded in Dontopedia across 6 references, with 2 live disagreements.

17 facts·12 predicates·6 sources·2 in dispute

Mostly:shape(4), data type(2), dtype(2)

Maturity scale raw canonical shape-checked rule-derived certified

Shapein disputeshape

  • N D Tuple[3]sourceall time · F3d5dce4 0492 435e 9a07 8eec7bd68f9b
  • 100000[2]all time · 4b3ee1a6 4f5a 4a77 B44b 85425871a302
  • 128[4]sourceall time · 8c2a3b82 Efd0 4f8b Ac35 4f5154e36e3a
  • 100000[4]sourceall time · 8c2a3b82 Efd0 4f8b Ac35 4f5154e36e3a

Data Typein disputedata-type

  • Numpy Array[4]sourceall time · 8c2a3b82 Efd0 4f8b Ac35 4f5154e36e3a
  • float32[4]sourceall time · 8c2a3b82 Efd0 4f8b Ac35 4f5154e36e3a

Dtypedtype

  • float32[2]all time · 4b3ee1a6 4f5a 4a77 B44b 85425871a302
  • float32[3]sourceall time · F3d5dce4 0492 435e 9a07 8eec7bd68f9b

Normalized bynormalizedBy

Data StructuredataStructure

Created bycreatedBy

Are Generated byare generated by

  • np.random.rand[2]all time · 4b3ee1a6 4f5a 4a77 B44b 85425871a302

Dimensiondimension

  • 128[2]all time · 4b3ee1a6 4f5a 4a77 B44b 85425871a302

Are Encrypted Beforeare encrypted before

  • insertion into collection[1]all time · 2241f30c Efce 4ea2 8840 991bf2ff7e90

Has Counthas_count

  • 1000000[5]all time · F45cfd0a 0023 4433 845a 9795a03d6bc9

Has Dimensionhas_dimension

  • dimension[5]all time · F45cfd0a 0023 4433 845a 9795a03d6bc9

Is a List ofis a list of

  • vectors to index[6]all time · 22413c5a 9bcc 4119

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.

17 undated
—
are encrypted beforebeam/2241f30c-efce-4ea2-8840-991bf2ff7e90
insertion into collection
—
are generated bybeam/4b3ee1a6-4f5a-4a77-b44b-85425871a302
np.random.rand
—
createdBybeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:numpy-random-random
—
dataStructurebeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:numpy-array
—
data-typebeam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
ex:numpy-array
—
data-typebeam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
float32
—
dimensionbeam/4b3ee1a6-4f5a-4a77-b44b-85425871a302
128
—
dtypebeam/4b3ee1a6-4f5a-4a77-b44b-85425871a302
float32
—
dtypebeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
float32
—
has_countbeam/f45cfd0a-0023-4433-845a-9795a03d6bc9
1000000
—
has_dimensionbeam/f45cfd0a-0023-4433-845a-9795a03d6bc9
dimension
—
is a list ofbeam/22413c5a-9bcc-4119
vectors to index
—
normalizedBybeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:faiss-normalize-l2
—
shapebeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:n-d-tuple
—
shapebeam/4b3ee1a6-4f5a-4a77-b44b-85425871a302
100000
—
shapebeam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
128
—
shapebeam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
100000

References (6)

6 references
  1. [1]2241f30c Efce 4ea2 8840 991bf2ff7e901 fact
    customctx:claims/beam/2241f30c-efce-4ea2-8840-991bf2ff7e90
  2. [2]4b3ee1a6 4f5a 4a77 B44b 85425871a3024 facts
    customctx:claims/beam/4b3ee1a6-4f5a-4a77-b44b-85425871a302
  3. [3]beam-chunk5 facts
    customctx:claims/beam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
      Show excerpt
      print(f"Processing dense query: {query_vector}") _, I = self.index.search(query_vector, k=10) return [f"dense_result_{i}" for i in I[0]] # Initialize FAISS index d = 128 # dimension n = 8000 # number of vectors np…
  4. [4]beam-chunk4 facts
    customctx:claims/beam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8c2a3b82-efd0-4f8b-ac35-4f5154e36e3a
      Show excerpt
      Approximate nearest neighbor search methods can significantly reduce search time while maintaining reasonable accuracy. One popular choice is the `IndexIVFFlat` index, which combines inverted file indexing with flat indexing. ### 2. Optimi…
  5. [5]F45cfd0a 0023 4433 845a 9795a03d6bc92 facts
    customctx:claims/beam/f45cfd0a-0023-4433-845a-9795a03d6bc9
  6. [6]22413c5a 9bcc 41191 fact
    customctx:claims/beam/22413c5a-9bcc-4119

See also

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