---
title: Implementation guide
slug: '2648'
canonical_url: https://docs.coveo.com/en/2648/
collection: project-guide
source_format: adoc
---
# Implementation guide
Content [indexing](https://docs.coveo.com/en/204/) 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 PDF guides

There are two available Coveo PDF guides.

The [**Coveo Platform architecture guide**](https://docs.coveo.com/en/assets/PDF/Platform/coveo-platform-architecture-guide.pdf) explains the core concepts of the [Coveo Platform](https://docs.coveo.com/en/186/) that are essential to understand when scoping and planning a Coveo implementation.
It's aimed principally at project managers and solution architects working with Coveo for the first time.

The [**Coveo Platform implementation guide**](https://docs.coveo.com/en/assets/PDF/Platform/coveo-platform-implementation-guide.pdf) goes deeper on some of those concepts, and walks you through the best practices for the initial implementation.
It's aimed at solution architects and developers.

These PDFs should be used as a complement to the rest of this guide and documentation, not as a replacement.
They're great resources to help you learn the basics in a streamlined fashion before jumping into 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 [Coveo Relevance Maturity Model​™](https://docs.coveo.com/en/2895/) (CRMM).
The tips and tricks in these guidelines are based on the experience of Coveo experts who have worked on multiple search integrations with the [Coveo Platform](https://docs.coveo.com/en/186/).

> **Note**
>
> While technical expertise with the [Coveo Platform](https://docs.coveo.com/en/186/) or with other content indexing solutions such as Solr, Lucene, Azure Search, or Elasticsearch can be useful in following this guide, it's by no means required.

* [About the Coveo Relevance Maturity Model](https://docs.coveo.com/en/2895/)

Helps you visualize your journey towards predictive relevance.

* [Search project overview](https://docs.coveo.com/en/2649/)

Outlines the steps to conduct a successful search project.

* [Evaluate the project time frame](https://docs.coveo.com/en/2657/)

Presents the key activities of the [IDEAS methodology](https://docs.coveo.com/en/2752/) and factors to consider when evaluating a project duration.

* [Initial configuration](https://docs.coveo.com/en/2674/)

Guides you through the creation of a [Coveo organization](https://docs.coveo.com/en/185/) and gives an overview of some common interactions with the [Coveo Platform](https://docs.coveo.com/en/186/).

* [Locate and index content](https://docs.coveo.com/en/2679/)

Offers tips and tricks on how to maintain a clean and up-to-date [index](https://docs.coveo.com/en/204/).

* [Design the search experience](https://docs.coveo.com/en/2676/)

Helps you build [search interfaces](https://docs.coveo.com/en/2741/) aimed at satisfying the needs and expectations of your end users.

* [Tune relevance](https://docs.coveo.com/en/2755/)

Explains how to leverage [query pipelines](https://docs.coveo.com/en/180/) and [Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188/) to continuously improve your solution.

* [Common pitfalls](https://docs.coveo.com/en/2759/)

Lists some of the most frequently made mistakes in a search project and explains how to avoid them.

* [Evaluate your implementation before going live (checklist)](https://docs.coveo.com/en/3012/)

Explains the crucial validations to make before deploying your Coveo-powered solution so you can better leverage the advantages of [Coveo Analytics](https://docs.coveo.com/en/182/) and [Coveo ML](https://docs.coveo.com/en/188/).