Search Output
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Search Output has 6 facts recorded in Dontopedia across 3 references, with 2 live disagreements.
Mostly:consists of(2), contains(2), structure(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (6)
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 |
|---|---|---|
| Consists of | Distances | [2] |
| Consists of | Indices | [2] |
| Contains | distances | [3] |
| Contains | indices | [3] |
| Structure | Dual Return | [1] |
| Rdf:type | Data Structure | [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/cd357396-3d15-4187-a06d-464838aefe07- full textbeam-chunktext/plain1 KB
doc:beam/cd357396-3d15-4187-a06d-464838aefe07Show excerpt
### Using Quantization for Efficiency Quantization can further reduce the memory footprint and speed up the search process. FAISS supports various quantization techniques, such as PQ (Product Quantization). Here's an example using PQ: ``…
ctx:claims/beam/02a7ad2c-cb05-4e89-b0b4-a0cfec772912- full textbeam-chunktext/plain1 KB
doc:beam/02a7ad2c-cb05-4e89-b0b4-a0cfec772912Show excerpt
[Turn 4754] User: I'm trying to optimize the search time for my 100K vectors using FAISS 1.7.4, but I'm seeing a search time of 180ms, which seems a bit high. Can you help me improve this? I've heard that indexing tools can make a big diffe…
ctx:claims/beam/9aef4a43-c110-4730-bed6-18e6312b77ad
See also
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