# rag/loader.py

from langchain_community.vectorstores import FAISS
from langchain_community.embeddings import HuggingFaceEmbeddings


def load_rag_index(index_path="faiss_index_fast"):
    embeddings = HuggingFaceEmbeddings(
        model_name="sentence-transformers/all-MiniLM-L6-v2"
    )

    vectorstore = FAISS.load_local(
        index_path,
        embeddings,
        allow_dangerous_deserialization=True
    )

    return vectorstore