In a previous refactor, we moved the responsibility of querying and storing embeddings into the `Schema` class. Now, it's time for embedding generation. The motivation behind these changes is to isolate vector characteristics in simple objects to later replace them with a DB-backed version, similar to what we did with LLM configs. |
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| .. | ||
| ai_persona_spec.rb | ||
| ai_tool_spec.rb | ||
| completion_prompt_spec.rb | ||
| llm_model_spec.rb | ||
| model_accuracy_spec.rb | ||
| rag_document_fragment_spec.rb | ||
| reviewable_ai_chat_message_spec.rb | ||
| reviewable_ai_post_spec.rb | ||
| shared_ai_conversation_spec.rb | ||
| user_option_spec.rb | ||