Dontopedia

Faiss Code Snippet

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Faiss Code Snippet has 22 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

22 facts·17 predicates·1 sources·1 in dispute

Mostly:comment(6), rdf:type(1), uses library(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (22)

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22 facts
PredicateValueRef
CommentAdjust based on your CPU cores[1]
CommentCreate a quantizer[1]
CommentCreate an IVFPQ index[1]
CommentTrain the index[1]
CommentAdd vectors to the index[1]
CommentSearch for nearest neighbors[1]
Rdf:typeCode Snippet[1]
Uses LibraryFaiss[1]
Sets Thread Count8[1]
Thread Count NoteAdjust based on your CPU cores[1]
Creates QuantizerIndex Flat L2 Quantizer[1]
Creates IndexIndex Ivfpq Index[1]
Trains IndexIndex Ivfpq Index[1]
Trains onVectors[1]
Adds Vectors to IndexIndex Ivfpq Index[1]
AddsVectors[1]
Performs SearchNearest Neighbor Search[1]
PrintsI[1]
Has Explanation Sectiontrue[1]
Programming LanguagePython[1]
Code StructureSequential Steps[1]
Demonstrates WorkflowIndexing Workflow[1]

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.

typebeam/8c21f541-c703-4998-aae0-19638ef54326
ex:CodeSnippet
usesLibrarybeam/8c21f541-c703-4998-aae0-19638ef54326
ex:faiss
setsThreadCountbeam/8c21f541-c703-4998-aae0-19638ef54326
8
threadCountNotebeam/8c21f541-c703-4998-aae0-19638ef54326
Adjust based on your CPU cores
createsQuantizerbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:IndexFlatL2-quantizer
createsIndexbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:IndexIVFPQ-index
trainsIndexbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:IndexIVFPQ-index
trainsOnbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:vectors
addsVectorsToIndexbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:IndexIVFPQ-index
addsbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:vectors
performsSearchbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:nearest-neighbor-search
printsbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:I
hasExplanationSectionbeam/8c21f541-c703-4998-aae0-19638ef54326
true
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Adjust based on your CPU cores
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Create a quantizer
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Create an IVFPQ index
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Train the index
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Add vectors to the index
commentbeam/8c21f541-c703-4998-aae0-19638ef54326
Search for nearest neighbors
programmingLanguagebeam/8c21f541-c703-4998-aae0-19638ef54326
ex:Python
codeStructurebeam/8c21f541-c703-4998-aae0-19638ef54326
ex:sequential-steps
demonstratesWorkflowbeam/8c21f541-c703-4998-aae0-19638ef54326
ex:indexing-workflow

References (1)

1 references
  1. ctx:claims/beam/8c21f541-c703-4998-aae0-19638ef54326
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8c21f541-c703-4998-aae0-19638ef54326
      Show excerpt
      faiss.omp_set_num_threads(8) # Adjust based on your CPU cores # Create a quantizer quantizer = faiss.IndexFlatL2(128) # Create an IVFPQ index nlist = 100 # Number of clusters M = 8 # Number of sub-quantizers nbits = 8 # Number of bits

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