Faiss 1.7.4
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Faiss 1.7.4 has 38 facts recorded in Dontopedia across 6 references, with 7 live disagreements.
Mostly:rdf:type(6), rdfs:label(5), tested on(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Indexing Library[2]all time · 94713b12 D064 4308 9f61 4de3db0a06d1
- Software[6]all time · 7bfc3b66 52bb 4c88 958d A45db0030d45
- Software Library[4]all time · 56ee2108 Aa51 4d60 A5b9 7c895e8b18ef
- Software Library[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
- Software Version[3]all time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
- Vector Search Library[5]all time · 149dec1b 3c49 4cff A826 Bc9175d778ec
Rdfs:labelin disputerdfs:label
- FAISS[6]all time · 7bfc3b66 52bb 4c88 958d A45db0030d45
- FAISS 1.7.4[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
- FAISS 1.7.4[3]sourceall time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
- FAISS 1.7.4[4]all time · 56ee2108 Aa51 4d60 A5b9 7c895e8b18ef
- FAISS 1.7.4[5]sourceall time · 149dec1b 3c49 4cff A826 Bc9175d778ec
Tested onin disputetestedOn
- 100k Vectors[5]sourceall time · 149dec1b 3c49 4cff A826 Bc9175d778ec
- 8000 Vectors[4]sourceall time · 56ee2108 Aa51 4d60 A5b9 7c895e8b18ef
Used forin disputeusedFor
- Dense Queries[4]sourceall time · 56ee2108 Aa51 4d60 A5b9 7c895e8b18ef
- indexing[2]sourceall time · 94713b12 D064 4308 9f61 4de3db0a06d1
Ensuresin disputeensures
- System Efficiency[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
- System Reliability[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
Supportsin disputesupports
- Direct Vector Addition[3]sourceall time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
- Multi Threading[3]sourceall time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
Has Parameterin disputehasParameter
- Ef Construction[3]all time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
- Ef Search[3]all time · 3c7c96d1 549b 4085 8bd9 152174bddc1f
Version NumberversionNumber
Contributes tocontributesTo
- Overall Performance[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
Balancesbalances
- Speed and Accuracy[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
Integration ImprovesintegrationImproves
- Overall Performance[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
Can Be Integrated IntocanBeIntegratedInto
- Existing Setup[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
Inbound mentions (10)
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.
includesIncludes(2)
- Current Setup
ex:current-setup - System Architecture
ex:system-architecture
acceptsAccepts(1)
- Existing Setup
ex:existing-setup
currentlyUsingCurrently Using(1)
- User
ex:user
describesDescribes(1)
- Impressive
ex:impressive
isLookingIntoIs Looking Into(1)
- User
ex:user
isTestingIs Testing(1)
- User
ex:user
mayUseMay Use(1)
- Dense Query Processors
ex:dense-query-processors
usesSoftwareUses Software(1)
- Dense Search With Faiss
ex:dense-search-with-faiss
usingToolUsing Tool(1)
- User
ex:user
Other facts (11)
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 Performance Characteristic | Impressive | [4] |
| Specializes in | Dense Queries | [4] |
| Search Speed Unit | ms | [4] |
| Has Search Speed | 130 | [4] |
| Has Operation | Adding Vectors | [3] |
| Has Method | Search Method | [3] |
| Optimized for | Vector Search | [2] |
| Processes | Embeddings | [2] |
| Compatible With | Sentence Transformers 2.2.2 | [2] |
| Search Time Unit | milliseconds | [5] |
| Has Search Time | 180 | [5] |
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 (6)
- custom
ctx:claims/beam/b2901d01-4633-4513-84d1-1ea253e96bbf - custom
ctx:claims/beam/94713b12-d064-4308-9f61-4de3db0a06d1- full textbeam-chunktext/plain1 KB
doc:beam/94713b12-d064-4308-9f61-4de3db0a06d1Show excerpt
[Turn 5446] User: I've been looking into using Uvicorn 0.22.0 as the server for its 99.9% uptime for 2K connections, and I was wondering if someone could help me configure it to work with my OAuth 2.0 flows and role-based access control, co…
- custom
ctx:claims/beam/3c7c96d1-549b-4085-8bd9-152174bddc1f- full textbeam-chunktext/plain1 KB
doc:beam/3c7c96d1-549b-4085-8bd9-152174bddc1fShow excerpt
- `efConstruction`: Construction parameter. - `efSearch`: Search parameter. 3. **Multi-threading**: - `faiss.omp_set_num_threads(8)` enables multi-threading to take advantage of multiple CPU cores. 4. **Adding Vectors**: - Vec…
- custom
ctx:claims/beam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef- full textbeam-chunktext/plain1 KB
doc:beam/56ee2108-aa51-4d60-a5b9-7c895e8b18efShow excerpt
- Use load balancers to distribute the load between sparse and dense query processors. - Consider using container orchestration tools like Kubernetes to manage and scale your services. 4. **Health Checks and Monitoring:** - Implem…
- custom
ctx:claims/beam/149dec1b-3c49-4cff-a826-bc9175d778ec- full textbeam-chunktext/plain1 KB
doc:beam/149dec1b-3c49-4cff-a826-bc9175d778ecShow excerpt
[Turn 4940] User: I'm trying to assess Weaviate 1.20.0 for its search time on 300K vectors, but I'm having trouble understanding how it compares to other alternatives like FAISS 1.7.4, which I've also been testing for its 180ms search time …
- custom
ctx:claims/beam/7bfc3b66-52bb-4c88-958d-a45db0030d45- full textbeam-chunktext/plain1 KB
doc:beam/7bfc3b66-52bb-4c88-958d-a45db0030d45Show excerpt
- **L2 Normalization**: Good for ensuring that the magnitude of the vector does not affect the similarity calculations. - **L1 Normalization**: Useful when sparsity is important. - **Max Normalization**: Useful when the largest element shou…
See also
- Speed and Accuracy
- Existing Setup
- Sentence Transformers 2.2.2
- Overall Performance
- System Efficiency
- System Reliability
- Search Method
- Adding Vectors
- Ef Construction
- Ef Search
- Impressive
- Vector Search
- Embeddings
- Indexing Library
- Software
- Software Library
- Software Version
- Vector Search Library
- Dense Queries
- Direct Vector Addition
- Multi Threading
- 100k Vectors
- 8000 Vectors
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