Coveo Project Guide
Content indexing and search is a mature market. Several solutions, both open source and proprietary, have paved the way to modern search and are now competing for best performance and reliability under all circumstances. Relevance, however, is still a relatively new concept in this market, and knowledge around this notion is therefore quickly and continuously evolving.
Coveo Implementation Guide
The Coveo Platform Implementation Guide explains the core Coveo concepts and walks you through the best practices when implementing Coveo for the first time. The PDF should be used as a complement to the rest of this guide and documentation, not as a replacement. It is a great resource to learn the basics in a streamlined fashion before jumping in more specific topics.
Guide Overview
This guide provides advice, leading practices, and links to technical documentation to help you plan, develop, deploy, and maintain a successful search solution that eventually reaches the highest stage of the CRMM (see About the Coveo Relevance Maturity Model). The various tips and tricks you will find in those guidelines are based on the experience of Coveo experts who have worked on several search integrations with Coveo before.
|
While technical expertise with Coveo or with other content indexing solutions such as Solr, Lucene, Azure Search, or Elasticsearch can be useful to follow this guide, it’s by no means required. |
-
About the Coveo Relevance Maturity Model
Helps you visualize your journey towards predictive relevance.
-
Outlines the steps to conduct a successful search project.
-
Evaluate the Project Time Frame
Presents the key activities of the IDEAS methodology and factors to consider when evaluating a project duration.
-
Guides you through the creation of a Coveo organization, and glances at common Coveo interactions.
-
Offers tips and tricks on how to maintain a clean and up-to-date index.
-
Designing the Search Experience
Helps you build search interfaces aimed at satisfying the needs and expectations of your end users.
-
Explains how to leverage query pipeline and Coveo Machine Learning (Coveo ML) to continuously improve your solution.
-
Lists some of the most frequently made mistakes in a search project, and explains how to avoid them.
-
Evaluate Your Implementation Before Going Live
Explains the crucial validations to make before deploying your Coveo solution in order to leverage the advantages of Coveo Usage Analytics and Machine Learning.