Search Purpose
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Search Purpose has 1 fact recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
describesDescribes(1)
- Search Comment
ex:search-comment
justifiesJustifies(1)
- Why Checked Section
ex:why-checked-section
Other facts (1)
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 | Search Objective | [1] |
Timeline
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.
References (1)
ctx:claims/beam/3b1e0a95-da47-45cb-81f4-b8a0f4b99a3c- full textbeam-chunktext/plain1 KB
doc:beam/3b1e0a95-da47-45cb-81f4-b8a0f4b99a3cShow excerpt
import numpy as np import faiss # Assuming I have a dataset of vectors vectors = np.random.rand(1000, 128).astype('float32') # Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Build an index using FAISS index = f…
See also
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