https://github.com/linkedin/instantsearch-tutorial

Sample code for building an end-to-end instant search solution
https://github.com/linkedin/instantsearch-tutorial

Last synced: 5 months ago
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Sample code for building an end-to-end instant search solution

• Host: GitHub
• URL: https://github.com/linkedin/instantsearch-tutorial
• Owner: linkedin
• License: apache-2.0
• Created: 2016-06-27T18:31:46.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-05-22T20:38:24.000Z (over 2 years ago)
• Last Synced: 2025-08-12T20:58:58.584Z (5 months ago)
• Language: JavaScript
• Homepage:
• Size: 26.9 MB
• Stars: 39
• Watchers: 10
• Forks: 12
• Open Issues: 4
• Metadata Files:
  • Readme: README
  • License: LICENSE.md

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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:

/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