{
  "status": "alive",
  "rag_prompt_pipelines": {
    "ru_chatgpt4turbo": {
      "title": "OpenAI gpt-4-turbo RU prompt",
      "method": "openai_chat_completion",
      "model": "gpt-4-turbo-preview",
      "request_len": 60000,
      "prompt_system": "Я задам тебе вопрос, на который ты должен ответить используя представленные документы, но не используя никакую другую информацию. Если информации недостаточно, отвечай: Я не знаю.\n",
      "prompt_user": "ВОПРОС: {{query}}\n\nПредоставленные документы:\n{{docs}}\n",
      "reply_on_error": "Я не знаю",
      "prompt_system2": "ОТВЕТ:"
    },
    "ru_yandexgpt": {
      "title": "Yandex gpt RU prompt",
      "method": "yandexgpt",
      "model": "yandexgpt",
      "request_len": 12000,
      "timeout_sec": 2.0,
      "params": {
        "completionOptions": {
          "stream": false,
          "temperature": 0.3,
          "maxTokens": "2000"
        }
      },
      "prompt_system": "Я задам тебе ЗАДАЧУ, на которую ты должен ответить используя представленные ДОКУМЕНТЫ, но не используя никакую другую информацию.",
      "prompt_user": "ЗАДАЧА: {{query}}\n\nДОКУМЕНТЫ:\n{{docs}}\n",
      "reply_on_error": "Я не знаю",
      "prompt_system2": "",
      "distance_threshold": 0.18
    },
    "ru_yandexgpt-lite": {
      "title": "Yandex gpt RU prompt",
      "method": "yandexgpt",
      "model": "yandexgpt-lite",
      "request_len": 12000,
      "timeout_sec": 2.0,
      "params": {
        "completionOptions": {
          "stream": false,
          "temperature": 0.3,
          "maxTokens": "2000"
        }
      },
      "prompt_system": "Я задам тебе ЗАДАЧУ, на которую ты должен ответить используя представленные ДОКУМЕНТЫ, но не используя никакую другую информацию.",
      "prompt_user": "ЗАДАЧА: {{query}}\n\nДОКУМЕНТЫ:\n{{docs}}\n",
      "reply_on_error": "Я не знаю",
      "prompt_system2": "",
      "distance_threshold": 0.18,
      "ya_cat_id": "b1gqpk52rabuaohvpsfj",
      "ya_key": "AQVNx5qSWxb5XCNStBDPcKSLjn6R9rrD6pT2pmAW"
    }
  },
  "data_pipelines": {
    "ru_qa_e5_yandexgpt": {
      "title": "ru RAG-from-QA (q+a->intfloat, q+a->yandexgpt)",
      "description": "Please upload only XLSX files containing only two columns: question answer.",
      "extensions_allowed": [
        "xlsx"
      ],
      "split_strategy": "qa",
      "embedding_source": "q+a",
      "embedding_pipeline": "intfloat",
      "environment": "intfloat",
      "rag_source": "q+a",
      "rag_prompt_pipeline": "ru_yandexgpt"
    },
    "ru_docs_e5_yandexgpt": {
      "title": "Yandexgpt ru RAG-from-SMALLDOCS (doc,pdf->markdown->intfloat, doc->yandexgpt)",
      "description": "Please upload small PDF files (DOCX TXT should also works). Markdown will be extracted from PDF.",
      "extensions_allowed": [
        "doc",
        "docx",
        "pdf",
        "txt"
      ],
      "split_strategy": "sliding_2_windows",
      "embedding_source": "query",
      "embedding_pipeline": "intfloat",
      "environment": "intfloat",
      "rag_source": "doc",
      "documents": 5,
      "split_size": 2000,
      "rag_prompt_pipeline": "ru_yandexgpt"
    },
    "ru_qa_e5_yandexgpt-lite": {
      "title": "ru RAG-from-QA (q+a->intfloat, q+a->yandexgpt-lite)",
      "description": "Please upload only XLSX files containing only two columns: question answer.",
      "extensions_allowed": [
        "xlsx"
      ],
      "split_strategy": "qa",
      "embedding_source": "q+a",
      "embedding_pipeline": "intfloat",
      "environment": "intfloat",
      "rag_source": "q+a",
      "rag_prompt_pipeline": "ru_yandexgpt-lite"
    },
    "ru_docs_e5_yandexgpt-lite": {
      "title": "Yandexgpt ru RAG-from-SMALLDOCS (doc,pdf->markdown->intfloat, doc->yandexgpt-lite)",
      "description": "Please upload small PDF files (DOCX TXT should also works). Markdown will be extracted from PDF.",
      "extensions_allowed": [
        "doc",
        "docx",
        "pdf",
        "txt"
      ],
      "split_strategy": "sliding_2_windows",
      "embedding_source": "query",
      "embedding_pipeline": "intfloat",
      "environment": "intfloat",
      "rag_source": "doc",
      "documents": 5,
      "split_size": 2000,
      "rag_prompt_pipeline": "ru_yandexgpt-lite"
    },
    "ru_docs_e5_chatgpt": {
      "title": "Chatgpt ru RAG-markdown-from-SMALLDOCS (doc->intfloat, doc->chatgpt)",
      "description": "Please upload small PDF files (DOCX TXT should also works). Markdown will be extracted from PDF.",
      "extensions_allowed": [
        "doc",
        "docx",
        "pdf",
        "txt"
      ],
      "split_strategy": "sliding_2_windows",
      "embedding_source": "query",
      "embedding_pipeline": "intfloat",
      "environment": "intfloat",
      "rag_source": "doc",
      "documents": 5,
      "split_size": 2000,
      "rag_prompt_pipeline": "ru_chatgpt4turbo"
    }
  }
}