vector_size
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
vector_size has 10 facts recorded in Dontopedia across 6 references, with 2 live disagreements.
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raw canonical shape-checked rule-derived certifiedInbound mentions (10)
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.
setsAttributeSets Attribute(2)
- Sparse Init Method
ex:sparse-init-method - Standard Init Method
ex:standard-init-method
accessed-attributeAccessed Attribute(1)
- Word Embeddings
ex:word-embeddings
argumentArgument(1)
- Lil Matrix Init
ex:lil_matrix-init
basedOnBased on(1)
- Specify Vector Property
ex:specify-vector-property
dimensionalityDimensionality(1)
- Embedding Space
ex:embedding-space
hasAttributeHas Attribute(1)
- Sparse Vector Storage Class
ex:sparse-vector-storage-class
hasParameterHas Parameter(1)
- Vector Storage
ex:VectorStorage
parameterParameter(1)
- Standard Init Method
ex:standard-init-method
reducesReduces(1)
- Quantization
ex:quantization
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 | Property Attribute | [1] |
| Rdf:type | Attribute | [2] |
| Rdf:type | Attribute | [3] |
| Rdf:type | Parameter | [4] |
| Rdf:type | Attribute | [5] |
| Rdf:type | Data Attribute | [6] |
| Affects | Matrix Dimensions | [2] |
Timeline
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References (6)
ctx:claims/beam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0- full textbeam-chunktext/plain1 KB
doc:beam/f80d8de8-0d2a-446e-ac9c-fc4672dce4f0Show excerpt
# Create the schema in Weaviate client.schema.create_class(schema) print("Schema created successfully.") ``` #### Inserting Data When inserting data, you can specify which vector property to use based on the vector size. ```python # Add …
ctx:claims/beam/e84015fa-c493-4afc-989d-244a981b70fe- full textbeam-chunktext/plain1 KB
doc:beam/e84015fa-c493-4afc-989d-244a981b70feShow excerpt
- The `add_vector` method checks if the current number of vectors has reached the capacity. If so, it resizes the array to accommodate more vectors. - The new vector is added to the array, and the count of vectors is incremented. 3. …
ctx:claims/beam/0e34ea7d-d474-440a-ac1e-e9e14d1357a0ctx:claims/beam/22824b9d-3561-4637-8955-aba85983b393ctx:claims/beam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8ctx:claims/beam/88bd05bd-f58b-4516-adae-bf469048d980- full textbeam-chunktext/plain1 KB
doc:beam/88bd05bd-f58b-4516-adae-bf469048d980Show excerpt
- The `100` parameter specifies the number of clusters. 3. **Training the Index**: - We train the index using the dataset. This step is crucial for the index to learn the structure of the data. 4. **Adding Vectors**: - We add the…
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