Vector Search Example

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

Vector Search Example has 25 facts recorded in Dontopedia across 3 references, with 8 live disagreements.

25 facts·14 predicates·3 sources·8 in dispute

Mostly:rdf:type(3), uses method(3), has property(2)

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.

`contains`Contains(1)

Full Exampleex:full-example

`exemplifiedBy`Exemplified by(1)

Method Chainingex:method-chaining

`precedes`Precedes(1)

Initial Printex:initial-print

Other facts (23)

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.

23 facts

Predicate	Value	Ref
Rdf:type	Code Section	[1]
Rdf:type	Code Example	[2]
Rdf:type	Code Example	[3]
Uses Method	With Near Vector Method	[2]
Uses Method	With Limit Method	[2]
Uses Method	Do Method	[2]
Has Property	Query Vector Size 128	[2]
Has Property	Query Vector Size 256	[2]
Retrieves Properties	My Text Property	[2]
Retrieves Properties	Vector 256 Property	[2]
Has Output Message	Success Message 128	[2]
Has Output Message	Success Message 256	[2]
Assigns Result	Result 128 Assignment	[2]
Assigns Result	Result 256 Assignment	[2]
Uses Parameter	Near Vector Parameter	[3]
Uses Parameter	Limit Parameter	[3]
Has Limit	10	[2]
Performs Action	Print Operation	[2]
Uses Client	Weaviate Client	[2]
Executes in Sequence	Query Then Print	[2]
Uses Method Chaining	true	[2]
Performs	Vector Search	[3]
Uses Query Vector	Query Vector 128	[3]

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.

25 undated

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typebeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935

ex:CodeSection

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labelbeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935

Vector Search Example Section

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typebeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:CodeExample

—

hasPropertybeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:query-vector-size-128

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hasPropertybeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:query-vector-size-256

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hasLimitbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

—

performsActionbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:print-operation

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usesClientbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:weaviate-client

—

retrievesPropertiesbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:my-text-property

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retrievesPropertiesbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:vector-256-property

—

hasOutputMessagebeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:success-message-128

—

hasOutputMessagebeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:success-message-256

—

executesInSequencebeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:query-then-print

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usesMethodbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:with-near-vector-method

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usesMethodbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:with-limit-method

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usesMethodbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:do-method

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assignsResultbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:result-128-assignment

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assignsResultbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:result-256-assignment

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usesMethodChainingbeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

true

—

typebeam/ea34a816-3421-425e-97a9-50206b2c6248

ex:CodeExample

—

labelbeam/ea34a816-3421-425e-97a9-50206b2c6248

Vector Search Example

—

performsbeam/ea34a816-3421-425e-97a9-50206b2c6248

ex:vector-search

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usesQueryVectorbeam/ea34a816-3421-425e-97a9-50206b2c6248

ex:query-vector-128

—

usesParameterbeam/ea34a816-3421-425e-97a9-50206b2c6248

ex:near-vector-parameter

—

usesParameterbeam/ea34a816-3421-425e-97a9-50206b2c6248

ex:limit-parameter

References (3)

3 references

[1]Cbaeb875 E16f 44dd Bc0f 36b3945d09352 facts
ctx:claims/beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
- full textbeam-chunk
  text/plain1 KBdoc:beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
  Show excerpt
  print("Query successful:") print(result) ``` ### Example with Vector Search If you want to perform a vector search and retrieve both text and vector data, you can use the `nearVector` filter: ```python # Perform a vector search query_vec…
[2]Df58a3ab 2df5 43d0 A3c7 D866e2d0138c17 facts
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 …
[3]Ea34a816 3421 425e 97a9 50206b2c62486 facts
ctx:claims/beam/ea34a816-3421-425e-97a9-50206b2c6248

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Vector Search Example

Inbound mentions (3)

containsContains(1)

exemplifiedByExemplified by(1)

precedesPrecedes(1)

Other facts (23)

Timeline

References (3)

See also

Keep researching

`contains`Contains(1)

`exemplifiedBy`Exemplified by(1)

`precedes`Precedes(1)