mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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>
83 lines
2.5 KiB
Python
83 lines
2.5 KiB
Python
"""Milvus Retriever"""
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import warnings
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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.embeddings import Embeddings
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.retrievers import BaseRetriever
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from langchain_community.vectorstores.milvus import Milvus
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# TODO: Update to MilvusClient + Hybrid Search when available
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class MilvusRetriever(BaseRetriever):
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"""`Milvus API` retriever."""
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embedding_function: Embeddings
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collection_name: str = "LangChainCollection"
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collection_properties: Optional[Dict[str, Any]] = None
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connection_args: Optional[Dict[str, Any]] = None
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consistency_level: str = "Session"
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search_params: Optional[dict] = None
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store: Milvus
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retriever: BaseRetriever
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@root_validator(pre=True)
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def create_retriever(cls, values: Dict) -> Dict:
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"""Create the Milvus store and retriever."""
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values["store"] = Milvus(
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values["embedding_function"],
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values["collection_name"],
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values["collection_properties"],
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values["connection_args"],
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values["consistency_level"],
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)
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values["retriever"] = values["store"].as_retriever(
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search_kwargs={"param": values["search_params"]}
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)
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return values
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def add_texts(
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self, texts: List[str], metadatas: Optional[List[dict]] = None
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) -> None:
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"""Add text to the Milvus store
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Args:
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texts (List[str]): The text
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metadatas (List[dict]): Metadata dicts, must line up with existing store
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"""
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self.store.add_texts(texts, metadatas)
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def _get_relevant_documents(
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self,
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query: str,
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*,
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run_manager: CallbackManagerForRetrieverRun,
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**kwargs: Any,
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) -> List[Document]:
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return self.retriever.invoke(
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query, run_manager=run_manager.get_child(), **kwargs
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)
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def MilvusRetreiver(*args: Any, **kwargs: Any) -> MilvusRetriever:
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"""Deprecated MilvusRetreiver. Please use MilvusRetriever ('i' before 'e') instead.
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Args:
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*args:
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**kwargs:
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Returns:
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MilvusRetriever
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"""
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warnings.warn(
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"MilvusRetreiver will be deprecated in the future. "
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"Please use MilvusRetriever ('i' before 'e') instead.",
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DeprecationWarning,
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)
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return MilvusRetriever(*args, **kwargs)
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