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Relevance AI has two main experiences — the builder platform for creating, and Chat for using. The builder platform is where you create and configure everything — agents, tools, workforces, and knowledge. You’ll also find the Marketplace here, where you can clone pre-built agents and tools instead of starting from scratch. This section of the docs covers the builder platform and all of its features. Relevance Chat is a conversational interface where you and your team interact with your agents directly. You can @ mention agents, use multiple agents in a single conversation, and give your team access to your agents — all through a familiar chat experience. This section focuses on building. To learn more about Chat, head to the Relevance Chat page in Getting Started. The builder platform — where you create and configure Agents, Tools, Knowledge, and Workforces.

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How it all fits together

Agents — the workers

You create agents that use your tools and knowledge to autonomously complete tasks, following the instructions and guardrails you set.

Tools — the actions

You build tools that define what your agents can do — call an API, send an email, search your CRM, run custom code, or chain steps together into a workflow.

Workforces — the team

You connect multiple agents into a workforce on a visual canvas — they collaborate and hand off work to each other.

Knowledge — the context

You connect knowledge so agents have access to your data — documents, spreadsheets, databases, websites — and can respond with accuracy.

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Ways to create

When creating agents and tools, you have two approaches:

Invent

Describe what you want in plain language and the platform generates it for you. Invent sets up the prompt, suggests tools, and gets you a working agent or tool fast — you make the tweaks.

Build from scratch

Full step-by-step control over every setting and configuration. Ideal when you need precision, have a specific workflow in mind, or want to fine-tune behavior.

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What’s next?

If you want to dive into the specifics of how to build and configure each component, the rest of this section covers everything. Start with building an agent’s prompt, then explore how to create custom tools, connect knowledge sources, and wire it all together in a workforce.