86 lines
2.2 KiB
Ruby
86 lines
2.2 KiB
Ruby
# frozen_string_literal: true
|
|
|
|
module DiscourseAi
|
|
module Embeddings
|
|
module VectorRepresentations
|
|
class MultilingualE5Large < Base
|
|
class << self
|
|
def name
|
|
"multilingual-e5-large"
|
|
end
|
|
|
|
def correctly_configured?
|
|
DiscourseAi::Inference::HuggingFaceTextEmbeddings.configured? ||
|
|
(
|
|
SiteSetting.ai_embeddings_discourse_service_api_endpoint_srv.present? ||
|
|
SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
|
|
)
|
|
end
|
|
|
|
def dependant_setting_names
|
|
%w[
|
|
ai_hugging_face_tei_endpoint_srv
|
|
ai_hugging_face_tei_endpoint
|
|
ai_embeddings_discourse_service_api_key
|
|
ai_embeddings_discourse_service_api_endpoint_srv
|
|
ai_embeddings_discourse_service_api_endpoint
|
|
]
|
|
end
|
|
end
|
|
|
|
def vector_from(text, asymetric: false)
|
|
client = inference_client
|
|
|
|
needs_truncation = client.class.name.include?("HuggingFaceTextEmbeddings")
|
|
if needs_truncation
|
|
text = tokenizer.truncate(text, max_sequence_length - 2)
|
|
else
|
|
text = "query: #{text}"
|
|
end
|
|
|
|
client.perform!(text)
|
|
end
|
|
|
|
def id
|
|
3
|
|
end
|
|
|
|
def version
|
|
1
|
|
end
|
|
|
|
def dimensions
|
|
1024
|
|
end
|
|
|
|
def max_sequence_length
|
|
512
|
|
end
|
|
|
|
def pg_function
|
|
"<=>"
|
|
end
|
|
|
|
def pg_index_type
|
|
"halfvec_cosine_ops"
|
|
end
|
|
|
|
def tokenizer
|
|
DiscourseAi::Tokenizer::MultilingualE5LargeTokenizer
|
|
end
|
|
|
|
def inference_client
|
|
if DiscourseAi::Inference::HuggingFaceTextEmbeddings.configured?
|
|
DiscourseAi::Inference::HuggingFaceTextEmbeddings.instance
|
|
elsif SiteSetting.ai_embeddings_discourse_service_api_endpoint_srv.present? ||
|
|
SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
|
|
DiscourseAi::Inference::DiscourseClassifier.instance(self.class.name)
|
|
else
|
|
raise "No inference endpoint configured"
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|