oc-assistant/app/rag/vectorstore.py

18 lines
489 B
Python

from langchain_chroma import Chroma
import os
def create_verctorstore(docs_split: list, embeddings, file_name: str):
db_name: str = file_name.replace(".pdf", "").replace(" ", "_").lower()
persist_directory: str = f"embeddings/{db_name}"
if not os.path.exists(persist_directory):
vectordb = Chroma.from_documents(
persist_directory=persist_directory,
documents=docs_split,
embedding=embeddings,
)
return vectordb