AI-Embedding
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lib/AI/Embedding.pm view on Meta::CPAN
if ($response->{'content'} =~ 'invalid_api_key') {
die 'Incorrect API Key - check your API Key is correct';
}
return $response;
}
# TODO:
# Make 'headers' use $header{$self->{'api'}}
# Currently hard coded to OpenAI
# Added purely for testing - IGNORE!
sub _test {
my $self = shift;
# return $self->{'api'};
return $header{$self->{'api'}};
}
# Return Embedding as a CSV string
sub embedding {
my ($self, $text, $verbose) = @_;
my $response = $self->_get_embedding($text);
lib/AI/Embedding.pm view on Meta::CPAN
if ($response->{'success'}) {
my $embedding = decode_json($response->{'content'});
return @{$embedding->{'data'}[0]->{'embedding'}};
}
$self->{'error'} = 'HTTP Error - ' . $response->{'reason'};
return $response if defined $verbose;
return undef;
}
# Return Test Embedding
sub test_embedding {
my ($self, $text, $dimension) = @_;
$self->{'error'} = '';
$dimension = 1536 unless defined $dimension;
if ($text) {
srand scalar split /\s+/, $text;
}
my @vector;
lib/AI/Embedding.pm view on Meta::CPAN
=head1 SYNOPSIS
use AI::Embedding;
my $embedding = AI::Embedding->new(
api => 'OpenAI',
key => 'your-api-key'
);
my $csv_embedding = $embedding->embedding('Some sample text');
my $test_embedding = $embedding->test_embedding('Some sample text');
my @raw_embedding = $embedding->raw_embedding('Some sample text');
my $cmp = $embedding->comparator($csv_embedding2);
my $similarity = $cmp->($csv_embedding1);
my $similarity_with_other_embedding = $embedding->compare($csv_embedding1, $csv_embedding2);
=head1 DESCRIPTION
The L<AI::Embedding> module provides an interface for working with text embeddings using various APIs. It currently supports the L<OpenAI|https://www.openai.com> L<Embeddings API|https://platform.openai.com/docs/guides/embeddings/what-are-embeddings>...
lib/AI/Embedding.pm view on Meta::CPAN
=head2 raw_embedding
my @raw_embedding = $embedding->raw_embedding('Some text passage', [$verbose]);
Generates an embedding for the given text and returns it as an array. The C<raw_embedding> method takes a single parameter, the text to generate the embedding for.
It is not normally necessary to use this method as the Embedding will almost always be used as a single homogeneous unit.
If the method call fails it sets the L</"error"> message and returns C<undef>. If the optional C<verbose> parameter is true, the complete L<HTTP::Tiny> response object is also returned to aid with debugging issues when using this module.
=head2 test_embedding
my $test_embedding = $embedding->test_embedding('Some text passage', $dimensions);
Used for testing code without making a chargeable call to the API.
Provides a CSV string of the same size and format as L<embedding> but with meaningless random data.
Returns a random embedding. Both parameters are optional. If a text string is provided, the returned embedding will always be the same random embedding otherwise it will be random and different every time. The C<dimension> parameter controls the n...
=head2 comparator
$embedding->comparator($csv_embedding2);
Sets a vector as a C<comparator> for future comparisons and returns a reference to a method for using the C<comparator>.
lib/AI/Embedding.pm view on Meta::CPAN
=item * Search CPAN
L<https://metacpan.org/release/AI::Embedding>
=back
=head1 ACKNOWLEDGEMENTS
Thanks to the help and support provided by members of Perl Monks L<https://perlmonks.org/>.
Especially L<Ken Cotterill (KCOTT)|https://metacpan.org/author/KCOTT> for assistance with unit tests and L<Hugo van der Sanden (HVDS)|https://metacpan.org/author/HVDS> for suggesting the current C<comparator> implementaion.
=head1 COPYRIGHT AND LICENSE
This software is copyright (c) 2023 by Ian Boddison.
This is free software; you can redistribute it and/or modify it under
the same terms as the Perl 5 programming language system itself.
=cut
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