For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
BlogLog InRequest Demo
HomeProductDevelopersSelf-HostingChangelog
HomeProductDevelopersSelf-HostingChangelog
  • Getting Started
    • Welcome to Vellum
    • Resources
    • Support
  • Quick Links
    • API Reference
    • Prompt Engineering
    • Workflows UI
    • Workflows SDK
    • Evaluations
    • Evaluation Metrics
    • Deployment
    • Observability
    • Monitoring
    • Document Indexes and RAG
    • Security
    • Enterprise
LogoLogo
BlogLog InRequest Demo
On this page
  • Quick Links
  • What is Vellum?
  • The Challenges of AI Development
  • How Does Vellum Work?
  • For Technical Teams
  • For Non-Technical Teams
  • For Mixed Teams
  • Getting Started
Getting Started

Welcome to Vellum

Was this page helpful?

Resources

Next
Built with

Quick Links

Product Documentation

Learn about Vellum’s features, including Prompts, Workflows, and Deployments.

Developer Documentation

Integrate with Vellum using our SDKs, APIs, and developer tools.

Agent Builder Guide

Practical tips and best practices for building Workflows with Agent Builder.

Workflows

Build complex AI applications with Vellum’s visual Workflow builder.

Evaluation

Test and evaluate your AI applications with metrics and test suites.

What is Vellum?

Vellum is an end-to-end AI development platform that helps teams build and deploy AI-powered applications. It provides a collaborative environment where both technical and non-technical team members can contribute to AI projects using familiar tools and interfaces.

Vellum Four Pillars of Development

Vellum's Four Pillars of AI Development

The Challenges of AI Development

AI development is often slowed down by silos between technical and business teams, leading to:

  • Slow development cycles
  • Communication gaps between stakeholders
  • AI systems being shipped with “vibe checks” and not rigorous evals
  • Insufficient monitoring of production use cases
  • Integration challenges between different tools

Vellum addresses these problems by providing a unified platform where all team members play a crucial role in the AI development process.

How Does Vellum Work?

Vellum combines several key capabilities into a single, integrated platform:

For Technical Teams

  • Developer Tools: Full IDE support and API integrations
  • Version Control: Built-in systems for managing prompts, orchestration logic and models
  • Testing Framework: Quantitative testing and performance monitoring. Clear visualization of inputs and outputs at each step of your graphs
  • RAG Pipeline: Document search and retrieval-augmented generation capabilities

For Non-Technical Teams

  • Low-Code Interface: Visual tools for prompt engineering and testing
  • Spreadsheet Integration: Familiar interfaces for content management
  • Collaborative Features: Shared workspaces and feedback tools

For Mixed Teams

There are many ways teams can collaborate in Vellum. Here are just a few common patterns:

  • Subject matter experts write prompts, measure quality, and deploy updates
  • Engineers build integrations and test control flow
  • Changes sync between code and UI to easily share assets and feedback

This flexible approach lets each team member contribute using their preferred tools while maintaining a single source of truth.

Getting Started

Choose your path to get started with Vellum:

Developer Guide

Get started with our SDKs, APIs, and developer tools to build and deploy AI applications.

Subject Matter Expert Guide

Learn how to build AI products using our low-code interface, visual tools, and collaborative features.

Need help? Contact our support team at support@vellum.ai