{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "719619d3",
   "metadata": {},
   "source": [
    "# BGE on Hugging Face\n",
    "\n",
    ">[BGE models on the HuggingFace](https://huggingface.co/BAAI/bge-large-en) are [the best open-source embedding models](https://huggingface.co/spaces/mteb/leaderboard).\n",
    ">BGE model is created by the [Beijing Academy of Artificial Intelligence (BAAI)](https://www.baai.ac.cn/english.html). `BAAI` is a private non-profit organization engaged in AI research and development.\n",
    "\n",
    "This notebook shows how to use `BGE Embeddings` through `Hugging Face`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f7a54279",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#!pip install sentence_transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e1d5b6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings import HuggingFaceBgeEmbeddings\n",
    "\n",
    "model_name = \"BAAI/bge-small-en\"\n",
    "model_kwargs = {'device': 'cpu'}\n",
    "encode_kwargs = {'normalize_embeddings': False}\n",
    "hf = HuggingFaceBgeEmbeddings(\n",
    "    model_name=model_name,\n",
    "    model_kwargs=model_kwargs,\n",
    "    encode_kwargs=encode_kwargs\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e59d1a89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "384"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embedding = hf.embed_query(\"hi this is harrison\")\n",
    "len(embedding)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e596315f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}