Coveo Cloud 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.

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 Understanding the Coveo Relevance Maturity Model). The various tips and tricks you’ll find in those guidelines are based on the experience of Coveo experts who have worked on several search integrations with the Coveo Cloud Platform before.

• Understanding the Coveo Relevance Maturity Model

  Helps you visualize your journey towards predictive relevance.

• Search Project Overview

  Outlines the steps to conduct a successful search project.

• Search Project Management

  Provides high-level guidelines for planning and managing a search project.

• Initial Configuration

  Guides you through the creation of a Coveo Cloud organization, and glances at common Coveo Cloud Platform interactions.

• Locating and Indexing Content

  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.

• Tuning Relevance

  Explains how to leverage query pipeline and Coveo Machine Learning (Coveo ML) to continuously improve your solution.

• Common Pitfalls

  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.