memory/vector_store.py

from langchain.vectorstores import FAISS
from langchain.embeddings import HuggingFaceEmbeddings


def create_vector_store(documents):
    embeddings = HuggingFaceEmbeddings(
        model_name="sentence-transformers/all-MiniLM-L6-v2"
    )

    return FAISS.from_documents(documents, embeddings)