api/embedding_models/baai_bge_m3.py

import os
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
from api.embedding_models.embedding_config import EmbeddingConfig
from llama_index.core import Settings

root_path = os.environ['ROOT_PATH']
MODEL_DIRECTORY = os.path.join(root_path,"model")

def EmbeddingModel():
    current_file_path = os.path.abspath(__file__)
    embedding_model_dir = os.path.dirname(current_file_path)
    api_dir = os.path.dirname(embedding_model_dir)
    model_dir = os.path.join(api_dir,MODEL_DIRECTORY)
    Settings.embed_model = HuggingFaceEmbedding(model_name = "BAAI/bge-m3",
                                cache_folder = model_dir)
    return EmbeddingConfig()