Back
Introduction | Yext Hitchhikers Platform
Yext Search provides the tools you need to answer your users’ questions on your website, in your app, or anywhere else people are searching. Build amazing AI-powered search experiences based on natural language understanding and using a multi-algorithm approach.
This guide will walk you through the entire process of creating an AI-powered search experience. It serves as a checklist and best-practices guide to help you implement a robust and effective search solution.
Review the linked resources for a more in-depth look at the concepts in this guide. For comprehensive contextual training, check out the Search Backend , Search Frontend Theme , and Search UI React tracks.
Yext Search
A Yext Search experience has three main components:
- Yext Knowledge Graph: The central index that stores all your data
- Search Backend: The configuration that dictates how algorithms find and rank results
- Search Frontend: The visual structure that displays results to users
At a high level, the steps to build a Search experience are as follows:
- Determine the strategy and scope of your Search experience
- Collect your data and add it to the Yext platform
- Set up the Search backend configuration to query your content
- Set up the Search frontend to display that content
- QA the Search experience
- Integrate onto your site and launch
- Monitor and optimize the experience post-launch
Getting Started
The first thing you need is a Yext account. If you are not yet a Yext customer, create a playground account via Hitchhikers.
Consider a Solution Template: For a quick start, apply a solution template . It provides a pre-built framework with entity types and fields, a Search configuration, and a frontend site.
