Keegan George b515b4f66d
FEATURE: AI Quick Semantic Search (#501)
This PR adds AI semantic search to the search pop available on every page.

It depends on several new and optional settings, like per post embeddings and a reranker model, so this is an experimental endeavour.


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Co-authored-by: Rafael Silva <xfalcox@gmail.com>
2024-03-08 13:02:50 -03:00

57 lines
1.0 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Embeddings
module VectorRepresentations
class TextEmbedding3Small < Base
class << self
def name
"text-embedding-3-small"
end
def correctly_configured?
SiteSetting.ai_openai_api_key.present?
end
def dependant_setting_names
%w[ai_openai_api_key]
end
end
def id
6
end
def version
1
end
def dimensions
1536
end
def max_sequence_length
8191
end
def pg_function
"<=>"
end
def pg_index_type
"vector_cosine_ops"
end
def vector_from(text, asymetric: false)
response = DiscourseAi::Inference::OpenAiEmbeddings.perform!(text, model: self.class.name)
response[:data].first[:embedding]
end
def tokenizer
DiscourseAi::Tokenizer::OpenAiTokenizer
end
end
end
end
end