> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.vellum.ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.vellum.ai/_mcp/server.

# Welcome to Vellum

> Discover Vellum for prompt engineering, semantic search, and more. Get resources and support for all major LLM providers.

Welcome 👋 Vellum helps you to take AI products from early-stage idea to production-grade feature with tooling for experimentation, evaluation, deployment, monitoring, and collaboration.

Here you'll find resources and guides for using the Vellum platform. Please don't hesitate to [contact us](/home/getting-started/support) if you can't find what you're looking for.

## Feature Documentation

### Build

#### [Prompt Engineering](/product/prompts/prompt-engineering)

Define and iterate on prompts across all open and closed source models

#### [Workflows](/product/workflows/introduction)

Build advanced AI systems like agents, chatbots, data extraction pipelines

#### [Common Architectures](/product/workflows/common-architectures)

Example workflows to help you get started

#### [Document Search & RAG](/product/documents/uploading-documents)

Implement semantic search and RAG pipelines

### Test & Deploy

#### [Testing & Evaluation](/product/evaluation/quantitative-evaluation)

Evaluate the quality of your AI systems at scale

#### [Metrics](/product/metrics/out-of-the-box-metrics)

Choose metrics to evaluate your AI systems

#### [Deployment](/product/deployments/deployment-lifecycle-management)

Version control and deploy your AI applications

#### [Monitoring](/product/deployments/monitoring)

Track performance and usage metrics