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# retrievers.py
import pickle
from langchain.vectorstores import FAISS
from langchain.retrievers import EnsembleRetriever
from kiwipiepy import Kiwi
from config import FAISS_DB_INDEX, BM25_INDEX
def load_retrievers(embeddings):
faiss_db = FAISS.load_local(
FAISS_DB_INDEX, embeddings, allow_dangerous_deserialization=True
)
faiss_retriever = faiss_db.as_retriever(search_type="mmr", search_kwargs={"k": 10})
with open(BM25_INDEX, "rb") as f:
bm25_retriever = pickle.load(f)
return EnsembleRetriever(
retrievers=[bm25_retriever, faiss_retriever],
weights=[0.7, 0.3],
search_type="mmr",
)
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