Dontopedia

Different Vector Sizes

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

Different Vector Sizes has 4 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

4 facts·1 predicates·3 sources·1 in dispute
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.

canHandleCan Handle(1)

describesDescribes(1)

supportsSupports(1)

Other facts (3)

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.

3 facts
PredicateValueRef
Rdf:typeVector Concept[1]
Rdf:typeConcept[2]
Rdf:typeVector Attribute[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/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
ex:VectorConcept
typebeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:Concept
labelbeam/ea34a816-3421-425e-97a9-50206b2c6248
Different Vector Sizes
typebeam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
ex:VectorAttribute

References (3)

3 references
  1. ctx:claims/beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
      Show excerpt
      .with_near_vector(near_vector_128) .with_limit(10) .do() ) print("Vector search query successful (size 128):") print(result_128) query_vector_256 = [0.5, 0.6, 0.7, 0.8] * 64 # Example query vector of size 256 near_vector_256
  2. ctx:claims/beam/ea34a816-3421-425e-97a9-50206b2c6248
  3. ctx:claims/beam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
    • full textbeam-chunk
      text/plain821 Bdoc:beam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
      Show excerpt
      print("Vector search query successful (size 128):") print(result_128) query_vector_256 = [0.5, 0.6, 0.7, 0.8] * 64 # Example query vector of size 256 near_vector_256 = {"vector": query_vector_256} result_256 = ( client.query.get("MyC

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.