How to Use Exa

A beginner-friendly guide to getting started with Exa in 2026.

Price Free plan available
Best For ai developers, researchers, data scientists
Rating ★★★★ 4.2/5

Getting Started: Step by Step

1

Create your Exa account

Visit Exa's website and sign up for a free account. You'll need an email address to get started.

2

Set up your workspace

Once signed in, configure your Exa workspace. Set your preferences, invite team members if needed, and customize the interface to match your workflow.

3

Explore neural-search

One of Exa's key features is neural-search. Navigate to this feature and experiment with it to understand how it fits into your workflow.

4

Explore content-retrieval

One of Exa's key features is content-retrieval. Navigate to this feature and experiment with it to understand how it fits into your workflow.

5

Explore similarity-search

One of Exa's key features is similarity-search. Navigate to this feature and experiment with it to understand how it fits into your workflow.

6

Integrate with your existing tools

Connect Exa with the other tools you use daily. Most integrations can be set up in the settings or integrations panel.

7

Start using it for real work

Now that you're set up, start using Exa for actual tasks. The best way to learn is by doing — don't worry about getting everything perfect right away.

Pro Tips

  • Start with the free plan or trial to explore Exa's capabilities before committing to a paid subscription.
  • Use keyboard shortcuts to speed up your workflow — most tools have extensive shortcut systems.
  • Check Exa's official documentation and community forums for advanced tips and best practices.
  • Review your workflow after 2 weeks of use and adjust your setup based on what's working and what isn't.

Key Features to Explore

neural-search
content-retrieval
similarity-search
filtering
auto-search
api-access

Alternatives to Consider

If Exa isn't the right fit, here are some similar tools:

Ready to Try Exa?

AI-powered search API that finds content using neural embeddings instead of keywords, designed for developers building AI applications that need web knowledge.

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