search_similar_vectors
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
search_similar_vectors has 34 facts recorded in Dontopedia across 3 references, with 5 live disagreements.
Mostly:has parameter(6), returns(5), calls(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
callsCalls(1)
- Test Code
ex:test-code
containsContains(1)
- Hnsw Example
ex:hnsw-example
definesDefines(1)
- Code Snippet
ex:code-snippet
hasStepHas Step(1)
- Train Add Search Sequence
ex:train-add-search-sequence
precedesPrecedes(1)
- Add Method
ex:add-method
testsTests(1)
- Code Snippet
ex:code-snippet
usedByUsed by(1)
- Index Search Method
ex:index-search-method
usedInUsed in(1)
- Query Vector Test
ex:query-vector-test
Other facts (31)
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 |
|---|---|---|
| Has Parameter | Query Vector | [1] |
| Has Parameter | K | [1] |
| Has Parameter | Query Vector Parameter | [2] |
| Has Parameter | K Parameter | [2] |
| Has Parameter | Query Vector | [3] |
| Has Parameter | K | [3] |
| Returns | Distances | [1] |
| Returns | Indices | [1] |
| Returns | Distances Indices Tuple | [2] |
| Returns | Distances | [3] |
| Returns | Indices | [3] |
| Calls | Normalize L2 | [1] |
| Calls | Search | [1] |
| Calls | Index Search Method | [2] |
| Calls | Index Search Method | [3] |
| Rdf:type | Search Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Search Function | [3] |
| Has Comment | Normalize Comment | [1] |
| Has Comment | Search Comment | [1] |
| Invoked With | Query Vector Test | [2] |
| Defined in | Hnsw Example | [2] |
| Is Custom Function | true | [2] |
| Normalizes | Query Vector | [3] |
| Searches | Similar Vectors | [3] |
| Uses | Index | [3] |
| Reshapes | Query Vector | [3] |
| Reshape Parameter | 1 Negative 1 | [3] |
| Return Type | Tuple of Arrays | [3] |
| Default Parameter | K Default 10 | [3] |
| Encapsulates | Query Processing Logic | [3] |
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 (3)
ctx:claims/beam/6ec3a2c8-a4c5-4d8f-b39a-c00b8aac8e2cctx:claims/beam/4acac4d0-910b-4fa1-96b2-afff0416f947- full textbeam-chunktext/plain1 KB
doc:beam/4acac4d0-910b-4fa1-96b2-afff0416f947Show excerpt
# Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an HNSW index M = 16 # Number of links per node efConstruction = 200 # Number of neighbors to consider during construction efSearch = 64 # Number of neig…
ctx:claims/beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd- full textbeam-chunktext/plain1 KB
doc:beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfdShow excerpt
# Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an IVFPQ index nlist = 100 # Number of clusters m = 8 # Number of subquantizers index = faiss.IndexIVFPQ(faiss.IndexFlatL2(128), 128, nlist, m, 8) # 8 is…
See also
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