mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
c010ec8b71
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
140 lines
4.2 KiB
Python
140 lines
4.2 KiB
Python
from typing import Any, Dict, List, Optional
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from langchain_core.callbacks import CallbackManagerForRetrieverRun
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from langchain_core.documents import Document
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from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator
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from langchain_core.retrievers import BaseRetriever
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from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
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from langchain_community.utilities.arcee import ArceeWrapper, DALMFilter
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class ArceeRetriever(BaseRetriever):
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"""Arcee Domain Adapted Language Models (DALMs) retriever.
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To use, set the ``ARCEE_API_KEY`` environment variable with your Arcee API key,
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or pass ``arcee_api_key`` as a named parameter.
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Example:
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.. code-block:: python
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from langchain_community.retrievers import ArceeRetriever
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retriever = ArceeRetriever(
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model="DALM-PubMed",
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arcee_api_key="ARCEE-API-KEY"
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)
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documents = retriever.invoke("AI-driven music therapy")
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"""
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_client: Optional[ArceeWrapper] = None #: :meta private:
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"""Arcee client."""
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arcee_api_key: SecretStr
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"""Arcee API Key"""
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model: str
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"""Arcee DALM name"""
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arcee_api_url: str = "https://api.arcee.ai"
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"""Arcee API URL"""
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arcee_api_version: str = "v2"
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"""Arcee API Version"""
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arcee_app_url: str = "https://app.arcee.ai"
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"""Arcee App URL"""
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model_kwargs: Optional[Dict[str, Any]] = None
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"""Keyword arguments to pass to the model."""
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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underscore_attrs_are_private = True
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def __init__(self, **data: Any) -> None:
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"""Initializes private fields."""
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super().__init__(**data)
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self._client = ArceeWrapper(
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arcee_api_key=self.arcee_api_key.get_secret_value(),
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arcee_api_url=self.arcee_api_url,
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arcee_api_version=self.arcee_api_version,
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model_kwargs=self.model_kwargs,
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model_name=self.model,
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)
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self._client.validate_model_training_status()
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@root_validator()
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def validate_environments(cls, values: Dict) -> Dict:
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"""Validate Arcee environment variables."""
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# validate env vars
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values["arcee_api_key"] = convert_to_secret_str(
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get_from_dict_or_env(
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values,
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"arcee_api_key",
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"ARCEE_API_KEY",
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)
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)
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values["arcee_api_url"] = get_from_dict_or_env(
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values,
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"arcee_api_url",
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"ARCEE_API_URL",
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)
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values["arcee_app_url"] = get_from_dict_or_env(
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values,
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"arcee_app_url",
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"ARCEE_APP_URL",
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)
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values["arcee_api_version"] = get_from_dict_or_env(
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values,
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"arcee_api_version",
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"ARCEE_API_VERSION",
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)
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# validate model kwargs
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if values["model_kwargs"]:
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kw = values["model_kwargs"]
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# validate size
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if kw.get("size") is not None:
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if not kw.get("size") >= 0:
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raise ValueError("`size` must not be negative.")
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# validate filters
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if kw.get("filters") is not None:
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if not isinstance(kw.get("filters"), List):
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raise ValueError("`filters` must be a list.")
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for f in kw.get("filters"):
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DALMFilter(**f)
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return values
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def _get_relevant_documents(
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self, query: str, run_manager: CallbackManagerForRetrieverRun, **kwargs: Any
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) -> List[Document]:
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"""Retrieve {size} contexts with your retriever for a given query
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Args:
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query: Query to submit to the model
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size: The max number of context results to retrieve.
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Defaults to 3. (Can be less if filters are provided).
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filters: Filters to apply to the context dataset.
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"""
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try:
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if not self._client:
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raise ValueError("Client is not initialized.")
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return self._client.retrieve(query=query, **kwargs)
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except Exception as e:
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raise ValueError(f"Error while retrieving documents: {e}") from e
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