Search Configuration
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Search Configuration has 3 facts recorded in Dontopedia across 2 references.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
hasSectionHas Section(1)
- Configuration
ex:configuration
is-used-asIs Used As(1)
- Search Params
ex:search-params
providesProvides(1)
- Search Source Builder
ex:search-source-builder
Other facts (3)
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 |
|---|---|---|
| Uses L2 Metric | true | [1] |
| Requests Top10 Results | true | [1] |
| Rdf:type | Configuration Section | [2] |
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 (2)
ctx:claims/beam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9- full textbeam-chunktext/plain1 KB
doc:beam/7da0d616-0de7-4880-bacb-4a0a15c5a9c9Show excerpt
vectors = np.random.rand(num_vectors, 128).astype('float32').tolist() ids = [str(i) for i in range(num_vectors)] self.collection.insert(vectors, ids) query_vector = np.random.rand(1, 128).asty…
ctx:claims/beam/59c3a94a-5b32-4265-af0d-c19def9f2e16- full textbeam-chunktext/plain1 KB
doc:beam/59c3a94a-5b32-4265-af0d-c19def9f2e16Show excerpt
### Step 1: Configure Elasticsearch Logging First, you need to configure Elasticsearch to log detailed information about indexing failures. This can be done by modifying the `elasticsearch.yml` configuration file. #### Example `elasticsea…
See also
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