Dontopedia
Explore

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.

38 facts·23 predicates·6 sources·7 in dispute

Mostly:rdf:type(6), rdfs:label(5), tested on(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

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

Used forin disputeusedFor

  • Dense Queries[4]sourceall time · 56ee2108 Aa51 4d60 A5b9 7c895e8b18ef
  • indexing[2]sourceall time · 94713b12 D064 4308 9f61 4de3db0a06d1

Ensuresin disputeensures

Supportsin disputesupports

Has Parameterin disputehasParameter

Version NumberversionNumber

  • 1.7.4[1]all time · B2901d01 4633 4513 84d1 1ea253e96bbf
  • 1.7.4[6]all time · 7bfc3b66 52bb 4c88 958d A45db0030d45

Contributes tocontributesTo

Balancesbalances

Integration ImprovesintegrationImproves

Can Be Integrated IntocanBeIntegratedInto

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)

acceptsAccepts(1)

currentlyUsingCurrently Using(1)

describesDescribes(1)

isLookingIntoIs Looking Into(1)

isTestingIs Testing(1)

mayUseMay Use(1)

usesSoftwareUses Software(1)

usingToolUsing Tool(1)

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.

11 facts
PredicateValueRef
Has Performance CharacteristicImpressive[4]
Specializes inDense Queries[4]
Search Speed Unitms[4]
Has Search Speed130[4]
Has OperationAdding Vectors[3]
Has MethodSearch Method[3]
Optimized forVector Search[2]
ProcessesEmbeddings[2]
Compatible WithSentence Transformers 2.2.2[2]
Search Time Unitmilliseconds[5]
Has Search Time180[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.

balancesbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:speed-and-accuracy
canBeIntegratedIntobeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:existing-setup
compatibleWithbeam/94713b12-d064-4308-9f61-4de3db0a06d1
ex:sentence-transformers-2.2.2
contributesTobeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:overall-performance
ensuresbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:system-efficiency
ensuresbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:system-reliability
hasMethodbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:search-method
hasOperationbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:adding-vectors
hasParameterbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:efConstruction
hasParameterbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:efSearch
hasPerformanceCharacteristicbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ex:impressive
hasSearchSpeedbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
130
hasSearchTimebeam/149dec1b-3c49-4cff-a826-bc9175d778ec
180
integrationImprovesbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:overall-performance
optimizedForbeam/94713b12-d064-4308-9f61-4de3db0a06d1
ex:vector-search
processesbeam/94713b12-d064-4308-9f61-4de3db0a06d1
ex:embeddings
labelbeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
FAISS
labelbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
FAISS 1.7.4
labelbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
FAISS 1.7.4
labelbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
FAISS 1.7.4
labelbeam/149dec1b-3c49-4cff-a826-bc9175d778ec
FAISS 1.7.4
typebeam/94713b12-d064-4308-9f61-4de3db0a06d1
ex:IndexingLibrary
typebeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
ex:Software
typebeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ex:SoftwareLibrary
typebeam/b2901d01-4633-4513-84d1-1ea253e96bbf
ex:SoftwareLibrary
typebeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:SoftwareVersion
typebeam/149dec1b-3c49-4cff-a826-bc9175d778ec
ex:VectorSearchLibrary
searchSpeedUnitbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ms
searchTimeUnitbeam/149dec1b-3c49-4cff-a826-bc9175d778ec
milliseconds
specializesInbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ex:dense-queries
supportsbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:direct-vector-addition
supportsbeam/3c7c96d1-549b-4085-8bd9-152174bddc1f
ex:multi-threading
testedOnbeam/149dec1b-3c49-4cff-a826-bc9175d778ec
ex:100k-vectors
testedOnbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ex:8000-vectors
usedForbeam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
ex:dense-queries
usedForbeam/94713b12-d064-4308-9f61-4de3db0a06d1
indexing
versionNumberbeam/b2901d01-4633-4513-84d1-1ea253e96bbf
1.7.4
versionNumberbeam/7bfc3b66-52bb-4c88-958d-a45db0030d45
1.7.4

References (6)

6 references
  1. customctx:claims/beam/b2901d01-4633-4513-84d1-1ea253e96bbf
  2. [2]beam-chunk5 facts
    customctx:claims/beam/94713b12-d064-4308-9f61-4de3db0a06d1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/94713b12-d064-4308-9f61-4de3db0a06d1
      Show 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
  3. [3]beam-chunk8 facts
    customctx:claims/beam/3c7c96d1-549b-4085-8bd9-152174bddc1f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3c7c96d1-549b-4085-8bd9-152174bddc1f
      Show 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
  4. [4]beam-chunk8 facts
    customctx:claims/beam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
    • full textbeam-chunk
      text/plain1 KBdoc:beam/56ee2108-aa51-4d60-a5b9-7c895e8b18ef
      Show 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
  5. [5]beam-chunk5 facts
    customctx:claims/beam/149dec1b-3c49-4cff-a826-bc9175d778ec
    • full textbeam-chunk
      text/plain1 KBdoc:beam/149dec1b-3c49-4cff-a826-bc9175d778ec
      Show 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
  6. [6]beam-chunk3 facts
    customctx:claims/beam/7bfc3b66-52bb-4c88-958d-a45db0030d45
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bfc3b66-52bb-4c88-958d-a45db0030d45
      Show 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

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.