Add Milvus and Zilliz Retrievals (#4416)

Adds the basic retrievers for Milvus and Zilliz. Hybrid search support
will be added in the future.

Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com>
dynamic_agent_tools
Filip Haltmayer 1 year ago committed by GitHub
parent 2e43954bc3
commit c632f7fc4e
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@ -0,0 +1,43 @@
"""Milvus Retriever"""
from typing import Any, Dict, List, Optional
from langchain.embeddings.base import Embeddings
from langchain.schema import BaseRetriever, Document
from langchain.vectorstores.milvus import Milvus
# TODO: Update to MilvusClient + Hybrid Search when available
class MilvusRetreiver(BaseRetriever):
def __init__(
self,
embedding_function: Embeddings,
collection_name: str = "LangChainCollection",
connection_args: Optional[Dict[str, Any]] = None,
consistency_level: str = "Session",
search_params: Optional[dict] = None,
):
self.store = Milvus(
embedding_function,
collection_name,
connection_args,
consistency_level,
)
self.retriever = self.store.as_retriever(search_kwargs={"param": search_params})
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) -> List[Document]:
return self.retriever.get_relevant_documents(query)
async def aget_relevant_documents(self, query: str) -> List[Document]:
raise NotImplementedError

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"""Zilliz Retriever"""
from typing import Any, Dict, List, Optional
from langchain.embeddings.base import Embeddings
from langchain.schema import BaseRetriever, Document
from langchain.vectorstores.zilliz import Zilliz
# TODO: Update to ZillizClient + Hybrid Search when available
class ZillizRetreiver(BaseRetriever):
def __init__(
self,
embedding_function: Embeddings,
collection_name: str = "LangChainCollection",
connection_args: Optional[Dict[str, Any]] = None,
consistency_level: str = "Session",
search_params: Optional[dict] = None,
):
self.store = Zilliz(
embedding_function,
collection_name,
connection_args,
consistency_level,
)
self.retriever = self.store.as_retriever(search_kwargs={"param": search_params})
def add_texts(
self, texts: List[str], metadatas: Optional[List[dict]] = None
) -> None:
"""Add text to the Zilliz 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) -> List[Document]:
return self.retriever.get_relevant_documents(query)
async def aget_relevant_documents(self, query: str) -> List[Document]:
raise NotImplementedError
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