db
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
db has 7 facts recorded in Dontopedia across 2 references.
Mostly:number of vectors(1), vector dimension(1), rdf:type(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (6)
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| Predicate | Value | Ref |
|---|---|---|
| Number of Vectors | 10000 | [1] |
| Vector Dimension | 128 | [1] |
| Rdf:type | Variable | [2] |
| Instantiates | Vector Database Class | [2] |
| Contains | 10000 | [2] |
| Is Instance of | Vector Database Class | [2] |
Timeline
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References (2)
ctx:claims/beam/5278119f-c632-4b91-b193-f1e7bddf1e64- full textbeam-chunktext/plain1 KB
doc:beam/5278119f-c632-4b91-b193-f1e7bddf1e64Show excerpt
# Calculate the similarity between the query vector and each vector in the database similarities = [np.dot(query_vector, vector) for vector in self.vectors] # Return the indices of the top 10 most similar vectors …
ctx:claims/beam/3c5f5c5b-6881-4f14-9961-c13194b540b4- full textbeam-chunktext/plain1 KB
doc:beam/3c5f5c5b-6881-4f14-9961-c13194b540b4Show excerpt
# Define the vector database class VectorDatabase: def __init__(self): self.vectors = [] def add_vector(self, vector): self.vectors.append(vector) def search(self, query_vector, top_k=10): # Calculate t…
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