feat: Response Bot using GPT and Webpage Sources (#7518)

This commit introduces the ability to associate response sources to an inbox, allowing external webpages to be parsed by Chatwoot. The parsed data is converted into embeddings for use with GPT models when managing customer queries.

The implementation relies on the `pgvector` extension for PostgreSQL. Database migrations related to this feature are handled separately by `Features::ResponseBotService`. A future update will integrate these migrations into the default rails migrations, once compatibility with Postgres extensions across all self-hosted installation options is confirmed.

Additionally, a new GitHub action has been added to the CI pipeline to ensure the execution of specs related to this feature.

enterprise/app/models/response.rb

@@ -0,0 +1,36 @@
+# == Schema Information
+#
+# Table name: responses
+#
+#  id                   :bigint           not null, primary key
+#  answer               :text             not null
+#  embedding            :vector(1536)
+#  question             :string           not null
+#  created_at           :datetime         not null
+#  updated_at           :datetime         not null
+#  account_id           :bigint           not null
+#  response_document_id :bigint
+#
+# Indexes
+#
+#  index_responses_on_embedding             (embedding) USING ivfflat
+#  index_responses_on_response_document_id  (response_document_id)
+#
+class Response < ApplicationRecord
+  belongs_to :response_document
+  belongs_to :account
+  has_neighbors :embedding, normalize: true
+
+  before_save :update_response_embedding
+
+  def self.search(query)
+    embedding = Openai::EmbeddingsService.new.get_embedding(query)
+    nearest_neighbors(:embedding, embedding, distance: 'cosine').first(5)
+  end
+
+  private
+
+  def update_response_embedding
+    self.embedding = Openai::EmbeddingsService.new.get_embedding("#{question}: #{answer}")
+  end
+end