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from langchain_community.vectorstores import FAISS
from modules.vectorstore.base import VectorStoreBase
import os
class FAISS(FAISS):
"""To add length property to FAISS class"""
def __len__(self):
return self.index.ntotal
class FaissVectorStore(VectorStoreBase):
def __init__(self, config):
self.config = config
self._init_vector_db()
self.local_path = os.path.join(
self.config["vectorstore"]["db_path"],
"db_"
+ self.config["vectorstore"]["db_option"]
+ "_"
+ self.config["vectorstore"]["model"]
+ "_"
+ config["splitter_options"]["chunking_mode"],
)
def _init_vector_db(self):
self.faiss = FAISS(
embedding_function=None, index=0, index_to_docstore_id={}, docstore={}
)
def create_database(self, document_chunks, embedding_model):
self.vectorstore = self.faiss.from_documents(
documents=document_chunks, embedding=embedding_model
)
self.vectorstore.save_local(self.local_path)
def load_database(self, embedding_model):
self.vectorstore = self.faiss.load_local(
self.local_path,
embedding_model,
allow_dangerous_deserialization=True,
)
return self.vectorstore
def as_retriever(self):
return self.vectorstore.as_retriever()
def __len__(self):
return len(self.vectorstore)
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