تنزيل bbqvec - تنزيل رمز المصدر bbqvec

bbqvec

شفرة المصدر الأخرى

1.0.0

تنزيل

BBQVEC عبارة عن مؤشر قاعدة بيانات متجه مفتوح المصدر ومضمّن لـ GO و RUST ، ويوفر تقريبية K-near-near-eleighbors (AKNN).

ابدء

يذهب

 package main

import (
  "fmt"

  bbq "github.com/barakmich/bbqvec"
)

func main () {
  // Declare store parameters
  dimensions := 200
  nBasis := 10

  // Initialize the store
  backend := bbq . NewMemoryBackend ( dimensions )
  datastore , _ := bbq . NewVectorStore ( backend , nBasis )

  // Create some test data, 100K random vectors
  vecs := bbq . NewRandVectorSet ( 100_000 , dimensions , nil )
  datastore . AddVectorsWithOffset ( 0 , vecs )
  /*
  Equivalent to:
  for i, v := range vecs {
  datastore.AddVector(bbq.ID(i), v)
  }
  */

  // Run a query
  targetVec := bbq . NewRandVector ( dimensions , nil )
  results , _ := datastore . FindNearest ( targetVec , 10 , 1000 , 1 )

  // Inspect the results
  top := results . ToSlice ()[ 0 ]
  vec , _ := backend . GetVector ( top . ID )
  fmt . Println ( top . ID , vec , top . Similarity )
}

الصدأ

 use bbqvec :: IndexIDIterator ;

fn main ( ) -> Result < ( ) > {
  // Declare store parameters
  let dimensions = 200 ;
  let n_basis = 10 ;

  // Initialize the store
  let mem = bbqvec :: MemoryBackend :: new ( dimensions , n_basis ) ? ;
  let mut store = bbqvec :: VectorStore :: new ( mem ) ? ;

  // Create some test data, 100K random vectors
  let vecs = bbqvec :: create_vector_set ( dimensions , 100000 ) ;
  store . add_vector_iter ( vecs . enumerate_ids ( ) ) ? ;

  // Run a query
  let target = bbqvec :: create_random_vector ( dimensions ) ;
  let results = store . find_nearest ( & target , 10 , 1000 , 1 ) ? ;

  // Inspect the results
  for res in results . iter_results ( ) {
    println ! ( "{} {}" , res . id , res . similarity )
  }
}