Improving Search with Suggestions

Course Summary

Search suggestions can improve both system performance and end user experience at the same time. This instructor-led course provides a solid understanding of the different types of suggesters and how they impact performance and user search experience. You will learn how to implement a "did you mean" as well as an auto-completion suggester. It also covers how to weight your suggestions and how to scale your implementation. After completing this module, you will be well prepared to implement suggestions within your Elasticsearch solution.

  • Introduction to Suggesters
  • "Did you mean" Suggesters
  • Autocomplete using Queries
  • Autocomplete using Completion Suggesters

Course Details

This course is a module of the Elasticsearch Advanced Search specialization. Find out how our focused Training Specializations can help you with your use case.

Software Developers and Engineers, Data Architects, DevOps

Virtual Classroom - 1 Day | 2-3 hours

Virtual Classroom Schedule

We recommend you have taken Elasticsearch Engineer I and Elasticsearch Engineer II or possess equivalent knowledge. Engineer I and Engineer II teach the concepts that are the foundation upon which all specializations are built.

  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Upcoming Classes — Improving Search with Suggestions

It was awesome. Both instructors are great speakers. They have a wide and deep knowledge about the topic, and they know how to pass it on. They are infecting with their enthusiasm.

Mariusz Kuskowski | Allegro Group