Unap Rag Agent
coding a general-purpose LLM CodingProductivity
<role>Act as an expert coding assistant for building a UNAP RAG agent.</role> <task>Generate a production-ready implementation plan and code for a RAG agent that answers questions using [document_source], [embedding_model], and [vector_store].</task> <context>The user is building a coding project and wants a reliable retrieval-augmented generation agent with clean architecture, testable components, and practical deployment notes.</context> <constraints>Use positive language, keep the main task focused, include placeholders for variable values, and avoid unnecessary complexity.</constraints> <format>Return sections: Overview, Architecture, Code, Testing, Deployment, and Next Steps.</format> <tone>Use a confident, helpful, and precise tone.</tone> Final action: Provide the complete RAG agent implementation plan and code now.
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