> ## Documentation Index
> Fetch the complete documentation index at: https://developer.upsun.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI use cases

> Tutorials for building and deploying AI-powered applications on Upsun Cloud, from chatbots to business intelligence tools.

Each tutorial builds a complete, deployable application. They progress from simple (context stuffing) to more advanced patterns (vector search, multi-app workers, database-backed AI).

> [card] [LangChain chatbot](https://developer.upsun.com/tutorials/ai/langchain-chatbot.md)
>
> Build a documentation chatbot with Node.js, LangChain, and OpenAI. Includes prompt injection defense, output filtering, and rate limiting.

> [card] [RAG pipeline](https://developer.upsun.com/tutorials/ai/rag-pipeline.md)
>
> Replace context stuffing with vector search using Qdrant. Retrieve only relevant chunks per query for 25x lower cost.

> [card] [Coding agent](https://developer.upsun.com/tutorials/ai/coding-agent.md)
>
> Deploy opencode as a self-hosted AI coding agent with headless Chrome for web automation, screenshots, and performance testing.

> [card] [News digest](https://developer.upsun.com/tutorials/ai/news-digest.md)
>
> Build an AI news digest with a Node.js frontend and Python worker communicating through Redis for background processing.

> [card] [Form processing](https://developer.upsun.com/tutorials/ai/form-processing.md)
>
> Classify support tickets with AI to extract category, urgency, sentiment, and suggested actions from unstructured text.

> [card] [eCommerce insights](https://developer.upsun.com/tutorials/ai/ecommerce-insights.md)
>
> Query ecommerce data in plain English. The LLM generates SQL, runs it on a read-only MySQL endpoint, and formats the results.


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