Text2Vec Contextionary Vectorizer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Text2Vec Contextionary Vectorizer is Default vectorizer for text.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
configuredWithConfigured With(1)
- Schema Definition
ex:schema-definition
Other facts (2)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Vectorizer | [1] |
| Description | Default vectorizer for text | [1] |
Timeline
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References (1)
ctx:claims/beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935- full textbeam-chunktext/plain1 KB
doc:beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935Show 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…
See also
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