Improve Search Support you own this product

prerequisites
basic Elasticsearch (filters, aggregations, pagination)
skills learned
use different queries to select sneakers
Jettro Coenradie
1 week · 6-8 hours per week · BEGINNER
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As a software engineer at Sneakers to the Max, it’s your job to create an API that the e-commerce company’s developers can use to improve search results. You’ll write Python code to create Elasticsearch queries that work best for zero, one, or multiple search terms. To enable the application to interact with the search service, you’ll implement a FastAPI endpoint. You’ll add query filters, including colors and price ranges, to narrow down the results, and you’ll add pagination for when the number of sneakers in the narrowed search results is too large to be displayed on one page. When you’re done, you’ll have created an API that empowers your developers to provide the best matches to customers’ searches and leads to increased sneaker sales.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Jettro Coenradie

Jettro Coenradie has worked in the search domain for more than 15 years, currently as a search relevance engineer and software architect at Luminis. He’s designed and implemented search solutions for some of the biggest e-commerce companies in the Netherlands and is a valued member of the international Search Relevance Tech community. He served as the technical editor for Manning’s Elasticsearch in Action, 1st edition, and has developed his own Elasticsearch curriculum. He’s shared his expertise in numerous blog posts and conference presentations, including at Devcon and JFall.

prerequisites

This liveProject is for intermediate-level Elasticsearch practitioners interested in improving search support. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Basic Python knowledge
  • Basic Elasticsearch knowledge
  • Basic Kibana knowledge

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