{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5be86be3-be9d-4707-ba0f-d4d82518bc2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "_ = load_dotenv(find_dotenv()) # read local .env file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3653c1eb-db1c-4546-9357-b86c12ff7347",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chains import RetrievalQA\n",
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.document_loaders import CSVLoader\n",
    "from langchain.vectorstores import DocArrayInMemorySearch\n",
    "from IPython.display import display, Markdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cb4b06e3-f3ba-4210-86e0-69cf1fbab9ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "file = 'Data.csv'\n",
    "loader = CSVLoader(file_path=file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "09c5e552-32a3-4aad-9a16-d45eb42a8197",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'URL' from 'sqlalchemy' (/home/sushantgo/Downloads/conda/lib/python3.11/site-packages/sqlalchemy/__init__.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[18], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mindexes\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m VectorstoreIndexCreator\n",
      "File \u001b[0;32m~/Downloads/conda/lib/python3.11/site-packages/langchain/indexes/__init__.py:17\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;124;03m\"\"\"Code to support various indexing workflows.\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03mProvides code to:\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[38;5;124;03mdocuments that were derived from parent documents by chunking.)\u001b[39;00m\n\u001b[1;32m     15\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mindexes\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m IndexingResult, index\n\u001b[0;32m---> 17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mindexes\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_sql_record_manager\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m SQLRecordManager\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mindexes\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mgraph\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m GraphIndexCreator\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mindexes\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvectorstore\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m VectorstoreIndexCreator\n",
      "File \u001b[0;32m~/Downloads/conda/lib/python3.11/site-packages/langchain/indexes/_sql_record_manager.py:21\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01muuid\u001b[39;00m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Any, Dict, Generator, List, Optional, Sequence, Union\n\u001b[0;32m---> 21\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msqlalchemy\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[1;32m     22\u001b[0m     URL,\n\u001b[1;32m     23\u001b[0m     Column,\n\u001b[1;32m     24\u001b[0m     Engine,\n\u001b[1;32m     25\u001b[0m     Float,\n\u001b[1;32m     26\u001b[0m     Index,\n\u001b[1;32m     27\u001b[0m     String,\n\u001b[1;32m     28\u001b[0m     UniqueConstraint,\n\u001b[1;32m     29\u001b[0m     and_,\n\u001b[1;32m     30\u001b[0m     create_engine,\n\u001b[1;32m     31\u001b[0m     text,\n\u001b[1;32m     32\u001b[0m )\n\u001b[1;32m     33\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msqlalchemy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mext\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdeclarative\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m declarative_base\n\u001b[1;32m     34\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msqlalchemy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01morm\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Session, sessionmaker\n",
      "\u001b[0;31mImportError\u001b[0m: cannot import name 'URL' from 'sqlalchemy' (/home/sushantgo/Downloads/conda/lib/python3.11/site-packages/sqlalchemy/__init__.py)"
     ]
    }
   ],
   "source": [
    "from langchain.indexes import VectorstoreIndexCreator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eaee53eb-59f2-4c95-b68f-30d35c2268f7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
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 },
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