Examples

RAG Application

Deploy a retrieval-augmented generation app

Prompt

Prompt

Build a RAG app that lets users upload documents and ask questions about them. Use LangChain with an in-memory vector store and Claude as the LLM. Build the frontend with React. Deploy to Ink.

Environment variables needed

VariableDescription
ANTHROPIC_API_KEYYour Anthropic API key

Build details

SettingValue
Build packAuto-detect (Node.js)
Memory512 MB+ (recommended for embedding operations)
Port3000

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