{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "07c1e3b9",
   "metadata": {},
   "source": [
    "# Vector DB Question/Answering\n",
    "\n",
    "This example showcases question answering over a vector database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "82525493",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
    "from langchain.vectorstores.faiss import FAISS\n",
    "from langchain.text_splitter import CharacterTextSplitter\n",
    "from langchain import OpenAI, VectorDBQA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5c7049db",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('../state_of_the_union.txt') as f:\n",
    "    state_of_the_union = f.read()\n",
    "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
    "texts = text_splitter.split_text(state_of_the_union)\n",
    "\n",
    "embeddings = OpenAIEmbeddings()\n",
    "docsearch = FAISS.from_texts(texts, embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3018f865",
   "metadata": {},
   "outputs": [],
   "source": [
    "qa = VectorDBQA.from_llm(llm=OpenAI(), vectorstore=docsearch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "032a47f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\" The president said that Ketanji Brown Jackson is one of the nation's top legal minds, a former top litigator and federal public defender, and from a family of public school educators and police officers. He also said that she has received a broad range of support since she was nominated, from the Fraternal Order of Police to former judges appointed by Democrats and Republicans.\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"What did the president say about Ketanji Brown Jackson\"\n",
    "qa.run(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f056f6fd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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