{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c1f56ae3-a056-4b31-bcab-27c2c97c00f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "from importlib.util import find_spec\n",
    "if find_spec(\"rag\") is None:\n",
    "    import sys\n",
    "    sys.path.append('..')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "240df289-d9d6-424b-a5b9-e09dcfefd57e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rag.retriever.retriever import Retriever"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "01305de3-0d6d-46e7-a0f0-2e2a2f72d563",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2024-04-13 22:30:45.267\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mrag.retriever.document\u001b[0m:\u001b[36m__configure\u001b[0m:\u001b[36m28\u001b[0m - \u001b[34m\u001b[1mCreating documents table if it does not exist...\u001b[0m\n",
      "\u001b[32m2024-04-13 22:30:45.278\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36mrag.retriever.vector\u001b[0m:\u001b[36m__configure\u001b[0m:\u001b[36m43\u001b[0m - \u001b[34m\u001b[1mCollection knowledge-base already exists...\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "client = Retriever().vec_db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4fcb1862-19a3-482b-b397-ce7be074c187",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client.client.delete_collection(\"knowledge-base\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c86d538c-d613-4e4d-8dd2-3abcea2cfeef",
   "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": "3.11.8"
  }
 },
 "nbformat": 4,
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}