> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.vellum.ai/product/workflows/examples/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.vellum.ai/_mcp/server. # Examples ## Docs - [Examples and Walkthroughs](https://docs.vellum.ai/product/workflows/examples/overview.md): See interactive Vellum architectures and watch video walkthroughs of them! Use these as a great starting point for your own applications. - [Prompt Chaining](https://docs.vellum.ai/product/workflows/examples/prompt-chain.md): Build a basic Prompt Chain that connects multiple prompts to create a more powerful workflow. - [RAG Chatbot](https://docs.vellum.ai/product/workflows/examples/basic-rag-chatbot.md): Build a powerful chatbot that leverages Retrieval Augmented Generation (RAG) to provide accurate, context-aware responses based on your documents and knowledge base. - [RAG Chatbot with Cohere Rerank](https://docs.vellum.ai/product/workflows/examples/rag-chatbot-with-cohere-rerank.md): Learn how to build a RAG chatbot that uses Cohere's Reranker to improve the quality of its responses - [Customer Support Bot](https://docs.vellum.ai/product/workflows/examples/customer-support-bot.md): Create an intelligent customer support system that handles routine inquiries automatically while seamlessly escalating complex cases to human agents, demonstrating effective human-AI collaboration. - [Convert PDF to CSV](https://docs.vellum.ai/product/workflows/examples/pdf-to-csv.md): Learn how to convert PDF documents into CSV format for easier data manipulation. - [Summarize Images of Websites](https://docs.vellum.ai/product/workflows/examples/summarize-images-of-websites.md): Learn how to process and analyze website screenshots using multi-modal LLMs to extract meaningful insights and generate concise summaries of visual web content. - [Parallelized Function Calls](https://docs.vellum.ai/product/workflows/examples/parallel-function-calls.md): Learn how to optimize workflow performance by executing multiple functions concurrently, enabling efficient processing of batch operations and parallel API calls. - [Lookup Conference Attendees with Perplexity](https://docs.vellum.ai/product/workflows/examples/conference-attendees-lookup.md): Learn how to look up conference attendees and sort them based on their involvement with AI/LLMs. - [Multi-Agent Content Creation](https://docs.vellum.ai/product/workflows/examples/multi-agent-chatbot.md): Learn how to orchestrate multiple AI agents working together to research, create, and optimize content through collaborative workflows and specialized roles. - [LLMs Debating Each Other](https://docs.vellum.ai/product/workflows/examples/chatbots-debate.md): Explore an innovative approach where multiple language models engage in structured debates, demonstrating complex reasoning, argument construction, and dynamic interaction between AI agents. - [Slack Support Bot, Cites Sources using Multiple Indexes](https://docs.vellum.ai/product/workflows/examples/slack-support-bot.md): Learn how to build a Slack support bot that cites sources using multiple indexes. - [Automating PR Reviews](https://docs.vellum.ai/product/workflows/examples/automating-pr-reviews.md): Learn how to build an automated code review system using Vellum Workflows to analyze pull requests, deliver insightful feedback, and uphold coding standards across your engineering team.