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fix retriever signatures (#7097)

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Bagatur 2023-07-03 14:21:36 -06:00 committed by GitHub
parent 490fcf9d98
commit fd3f8efec7
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5 changed files with 9 additions and 9 deletions
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4
langchain/retrievers/llama_index.py
View File

@ -1,4 +1,4 @@
from typing import Any, Dict, List, Optional, cast from typing import Any, Dict, List, cast
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
@ -40,7 +40,7 @@ class LlamaIndexRetriever(BaseRetriever, BaseModel):
return docs return docs
async def _aget_relevant_documents( async def _aget_relevant_documents(
self, query: str, *, run_manager: Optional[AsyncCallbackManagerForRetrieverRun] self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
raise NotImplementedError("LlamaIndexRetriever does not support async") raise NotImplementedError("LlamaIndexRetriever does not support async")

2
langchain/retrievers/self_query/base.py
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@ -117,7 +117,7 @@ class SelfQueryRetriever(BaseRetriever, BaseModel):
return docs return docs
async def _aget_relevant_documents( async def _aget_relevant_documents(
self, query: str, *, run_manager: Optional[AsyncCallbackManagerForRetrieverRun] self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
raise NotImplementedError raise NotImplementedError

4
langchain/vectorstores/base.py
View File

@ -407,7 +407,7 @@ class VectorStoreRetriever(BaseRetriever, BaseModel):
return values return values
def _get_relevant_documents( def _get_relevant_documents(
self, query: str, *, run_manager: Optional[CallbackManagerForRetrieverRun] self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
if self.search_type == "similarity": if self.search_type == "similarity":
docs = self.vectorstore.similarity_search(query, **self.search_kwargs) docs = self.vectorstore.similarity_search(query, **self.search_kwargs)
@ -427,7 +427,7 @@ class VectorStoreRetriever(BaseRetriever, BaseModel):
return docs return docs
async def _aget_relevant_documents( async def _aget_relevant_documents(
self, query: str, *, run_manager: Optional[AsyncCallbackManagerForRetrieverRun] self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
if self.search_type == "similarity": if self.search_type == "similarity":
docs = await self.vectorstore.asimilarity_search( docs = await self.vectorstore.asimilarity_search(

4
langchain/vectorstores/redis.py
View File

@ -620,7 +620,7 @@ class RedisVectorStoreRetriever(VectorStoreRetriever, BaseModel):
return values return values
def _get_relevant_documents( def _get_relevant_documents(
self, query: str, *, run_manager: Optional[CallbackManagerForRetrieverRun] self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
if self.search_type == "similarity": if self.search_type == "similarity":
docs = self.vectorstore.similarity_search(query, k=self.k) docs = self.vectorstore.similarity_search(query, k=self.k)
@ -633,7 +633,7 @@ class RedisVectorStoreRetriever(VectorStoreRetriever, BaseModel):
return docs return docs
async def _aget_relevant_documents( async def _aget_relevant_documents(
self, query: str, *, run_manager: Optional[AsyncCallbackManagerForRetrieverRun] self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
raise NotImplementedError("RedisVectorStoreRetriever does not support async") raise NotImplementedError("RedisVectorStoreRetriever does not support async")

4
langchain/vectorstores/singlestoredb.py
View File

@ -451,7 +451,7 @@ class SingleStoreDBRetriever(VectorStoreRetriever):
allowed_search_types: ClassVar[Collection[str]] = ("similarity",) allowed_search_types: ClassVar[Collection[str]] = ("similarity",)
def _get_relevant_documents( def _get_relevant_documents(
self, query: str, *, run_manager: Optional[CallbackManagerForRetrieverRun] self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
if self.search_type == "similarity": if self.search_type == "similarity":
docs = self.vectorstore.similarity_search(query, k=self.k) docs = self.vectorstore.similarity_search(query, k=self.k)
@ -460,7 +460,7 @@ class SingleStoreDBRetriever(VectorStoreRetriever):
return docs return docs
async def _aget_relevant_documents( async def _aget_relevant_documents(
self, query: str, *, run_manager: Optional[AsyncCallbackManagerForRetrieverRun] self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
) -> List[Document]: ) -> List[Document]:
raise NotImplementedError( raise NotImplementedError(
"SingleStoreDBVectorStoreRetriever does not support async" "SingleStoreDBVectorStoreRetriever does not support async"