langchain/libs/community/langchain_community/retrievers/milvus.py
ccurme c010ec8b71
patch: deprecate (a)get_relevant_documents (#20477)
- `.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>
2024-04-22 11:14:53 -04:00

83 lines
2.5 KiB
Python

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