How to Create a Full Autocomplete Search Application with Elasticsearch, Kibana and NestJS – The Concluding Part


Hello and welcome to the concluding part of this series. In the previous articles, we walked through the installation and configuration of Elasticsearch, Kibana as well as importing data into Elasticsearch and querying them with NestJS (in case you missed them check them out here.

In this article I will be walking you through how to connect a simple react application with autocomplete feature that leverages NestJS backend with elasticsearch.

Setting up a react project

You can setup a simple react app using this command (or checkout this detailed react documentation

$ npx create-react-app nest-elastic-frontend

Once you app is setup, open it in your favorite IDE, mine is VSCode.

We will need to install axios as a dependency. If you prefer npm package manager, you will have to run npm install axios but if you preferred yarn, yarn add axios.

We need to update three files

1. public/index.html

You need to add bootstrap CDN. (PS: I have removed the comments to reduce the length of the file).

    React App

2. src/App.js

import './App.css';
import axios from 'axios';
import { useState } from 'react';
const App = () => {
  const [searchResponse, setSearchResponse] = useState([]);
  const [totalValue, setTotalValue] = useState();

  const handleChange = async e => {
    const { data } = await'http://localhost:8000/movies/search', {
      data: {
        title: ","

  return (
Search All Fields

{totalValue ?? 0} {totalValue > 1 ? 'Records' : 'Record'} Found

{, idx) => ( ))}
Title Overview Revenue:Budget ($)




); }; export default App;

3. Lastly, src/index.css

body {
  margin: 0;
  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu',
    'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;

code {
  font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', monospace;

.search-table {
  padding: 10%;
  margin-top: -6%;
.search-box {
  background: #c1c1c1;
  border: 1px solid #ababab;
  padding: 3%;
.search-box input:focus {
  box-shadow: none;
  border: 2px solid #eeeeee;
.search-list {
  background: #fff;
  border: 1px solid #ababab;
  border-top: none;
.search-list h3 {
  background: #eee;
  padding: 3%;
  margin-bottom: 0%;

.title {
  word-wrap: normal;
  width: 200px;

Running your app

Start your react app with yarn start or npm start depending on your preferred package manager.

Testing your app

landing page

search how to

search hope


In this article, we are able to visualize the result of our backend app running on elasticsearch queries in our react application.

Thanks for staying tuned!

Here is the link to the source code

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