PineconeHynridSearchRetriever not having search_kwargs about langchain

[qingdengyue]

retriever = MultiQueryRetriever(
retriever = myPineconeHybridSearchRetriever ,
llm_chain = llm_chain,
parser_key = "lines",
include_original = True,
)

like this

retriever = MultiQueryRetriever(
retriever = myPineconeHybridSearchRetriever ,
llm_chain = llm_chain,
parser_key = "lines",
include_original = True,
sparse_vector=sparse_vec,
top_k=self.top_k,
)

[liugddx]

Let me see

[danterran00]

The solution for me was to modify the PineconeHybridSearch class adding the search_kwargs:

search_kwargs: dict = Field(default_factory=lambda: dict(k=100))
"""Keyword arguments to pass to the vectorstore hybrid search."""

and then adding on the function _get_relevant_documents

result = self.index.query(
    vector=dense_vec,
    sparse_vector=sparse_vec,
    top_k=self.top_k,
    include_metadata=True,
    **(self.search_kwargs if self.search_kwargs is not None else {}),
)

You can also have a custom class but I prefer modify this as temp solution