# instantsearch-tutorial

**Repository Path**: mirrors_linkedin/instantsearch-tutorial

## Basic Information

- **Project Name**: instantsearch-tutorial
- **Description**: Sample code for building an end-to-end instant search solution
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-09
- **Last Updated**: 2026-03-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Step 1 - System setup:

Please go through assignment0 listed in:
instantsearch-assignments/assignment0

This will ensure that you have the setup as well the dependecies installed.

Step 2 - Indexing:

Start an instance of elasticsearch:
<your_elasticsearch_location>/bin/elasticsearch

Index instant results:

python src/indexing/simple_index.py --i data/stackoverflow/posts_small.json

Query autocomplete via FST:

python src/indexing/query_autocomplete.py --i data/stackoverflow/Tags_small.xml

Step 3 - start the mid-tier service to call hit both the indices above and
blend results

python src/backend/simplify_es_output.py

This will start a serive in port 8080

Step 4 - front end

Open the following file in your browser:
src/frontend/es.html