autorag.data.qa.evolve package¶
Submodules¶
autorag.data.qa.evolve.llama_index_query_evolve module¶
- async autorag.data.qa.evolve.llama_index_query_evolve.compress_ragas(row: Dict, llm: BaseLLM, lang: str = 'en') Dict[source]¶
- async autorag.data.qa.evolve.llama_index_query_evolve.conditional_evolve_ragas(row: Dict, llm: BaseLLM, lang: str = 'en') Dict[source]¶
autorag.data.qa.evolve.openai_query_evolve module¶
- class autorag.data.qa.evolve.openai_query_evolve.Response(*, evolved_query: str)[source]¶
Bases:
BaseModel- evolved_query: str¶
- model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}¶
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
- model_config: ClassVar[ConfigDict] = {}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- model_fields: ClassVar[Dict[str, FieldInfo]] = {'evolved_query': FieldInfo(annotation=str, required=True)}¶
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
This replaces Model.__fields__ from Pydantic V1.
- async autorag.data.qa.evolve.openai_query_evolve.compress_ragas(row: Dict, client: AsyncOpenAI, model_name: str = 'gpt-4o-2024-08-06', lang: str = 'en') Dict[source]¶
- async autorag.data.qa.evolve.openai_query_evolve.conditional_evolve_ragas(row: Dict, client: AsyncOpenAI, model_name: str = 'gpt-4o-2024-08-06', lang: str = 'en') Dict[source]¶