Query Vector Definition
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Query Vector Definition has 7 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), defines entity(1), precedes(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
dependsOnDepends on(1)
- Contextual Similarity Function
ex:contextual_similarity-function
hasStepHas Step(1)
- Process Sequence
ex:process-sequence
isLocatedAfterIs Located After(1)
- Contextual Similarity Function
ex:contextual_similarity-function
precedesPrecedes(1)
- Building the Index
ex:building-the-index
Other facts (7)
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 | Process | [1] |
| Rdf:type | Numpy Array Definition | [2] |
| Defines Entity | Query Vector | [1] |
| Precedes | Nearest Neighbor Search | [1] |
| Has Variable Name | Query Vector Variable | [2] |
| Has Value | Query Vector Values | [2] |
| Uses Numpy Library | True Numpy Usage | [2] |
Timeline
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References (2)
ctx:claims/beam/18f4ab71-a5f8-4e4c-bddd-45b5cd6d411f- full textbeam-chunktext/plain1 KB
doc:beam/18f4ab71-a5f8-4e4c-bddd-45b5cd6d411fShow excerpt
1. **Sample Dataset Creation**: - `num_vectors`: Number of vectors in the dataset. - `vector_dim`: Dimensionality of each vector. - `vectors`: Randomly generated vectors. 2. **Annoy Index Initialization**: - `AnnoyIndex(vector_…
ctx:claims/beam/0f76603a-89a4-47a0-b577-eddce4e83e65- full textbeam-chunktext/plain1 KB
doc:beam/0f76603a-89a4-47a0-b577-eddce4e83e65Show excerpt
return reformulated_query # Example context and query context = { 'location': 'New York', 'previous_searches': ['coffee shops'], 'time_of_day': 'morning' } query = "coffee shops" # Reformulate the query reformulated_query …
See also
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