discourse-ai/spec/lib/modules/embeddings/model_spec.rb

37 lines
1.2 KiB
Ruby

# frozen_string_literal: true
require_relative "../../../support/embeddings_generation_stubs"
RSpec.describe DiscourseAi::Embeddings::Model do
describe "#generate_embedding" do
let(:input) { "test" }
let(:expected_embedding) { [0.0038493, 0.482001] }
context "when the model uses the discourse service to create embeddings" do
before { SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com" }
let(:discourse_model) { "all-mpnet-base-v2" }
it "returns an embedding for a given string" do
EmbeddingsGenerationStubs.discourse_service(discourse_model, input, expected_embedding)
embedding = described_class.instantiate(discourse_model).generate_embedding(input)
expect(embedding).to contain_exactly(*expected_embedding)
end
end
context "when the model uses OpenAI to create embeddings" do
let(:openai_model) { "text-embedding-ada-002" }
it "returns an embedding for a given string" do
EmbeddingsGenerationStubs.openai_service(openai_model, input, expected_embedding)
embedding = described_class.instantiate(openai_model).generate_embedding(input)
expect(embedding).to contain_exactly(*expected_embedding)
end
end
end
end