Uses Spotify’s Annoy to perform approximate nearest neighbour search.

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n_nearest
integer
default: "15"

Number of nearest neighbours to connect to.

Values must be in the following range:

1 ≤ n_nearest < inf
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similarity_min
number

Minimum similarity for connecting two nodes.

Values must be in the following range:

0 ≤ similarity_min ≤ 1
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similarity_min_q
number

Minimum similarity for connecting two nodes, expressed as a quantile of the similarity distribution.

Values must be in the following range:

0 ≤ similarity_min_q ≤ 1
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n_trees
integer
default: "30"

Number of trees. Affects the build time and the index size. A larger value will give more accurate results, but will take longer to create a larger index.

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search_k_mult
integer
default: "2"

Accuracy multipler. A larger value will give more accurate results, but will take longer time to return.

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metric
string
default: "angular"

Metric to use, only angular supported for now. Annoy’s angular metric is equivalent to sqrt(2*(1-cos(u,v))), whose max. is sqrt(2*2) = 2. I.e. the distance between (1,0) and (-1,0), at maximum angular separation, should be exactly 2 Note that for the weights of the resulting network links Annoy’s distances are converted to similarities in the interval [0,1].

Values must be one of the following:

  • angular
  • euclidean
  • manhattan
  • hamming
  • dot
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seed
number

Used to seed the random number generator, creating deterministic results.

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