IVFFlat
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
IVFFlat has 8 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:rdf:type(2), suitable for(2), is less memory efficient than(1)
Maturity scale
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Other facts (7)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Vector Index Algorithm | [1] |
| Rdf:type | Indexing Strategy | [2] |
| Suitable for | High Accuracy Requirement | [1] |
| Suitable for | High Accuracy | [1] |
| Is Less Memory Efficient Than | Ivfpq | [1] |
| Memory Efficiency Comparison | Ivfpq | [1] |
| Is Suitable for | moderate-sized datasets | [2] |
Timeline
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References (2)
ctx:claims/beam/5322bb97-5c91-4db0-bf82-cf4a4ac41105- full textbeam-chunktext/plain1 KB
doc:beam/5322bb97-5c91-4db0-bf82-cf4a4ac41105Show excerpt
- For larger datasets (millions or more vectors), IVFPQ or HNSW are often better choices due to their efficiency in terms of memory and search speed. 2. **Search Latency Requirements**: - If you need very low search latency (under 20…
ctx:claims/beam/ecc10427-1434-46a2-aff0-01592ea116ff- full textbeam-chunktext/plain1 KB
doc:beam/ecc10427-1434-46a2-aff0-01592ea116ffShow excerpt
### 4. Indexing Strategy Efficient indexing is crucial for fast vector search. Consider the following indexing strategies: - **IVFFlat**: Suitable for moderate-sized datasets. - **IVFPQ**: More memory-efficient and faster for large datas…
See also
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