RAG & GenAI Copilot
Krishna Sathvik · Developer Tools
ChatGPTApp
Production RAG & GenAI Copilot helps you design, debug, evaluate, secure, and operate retrieval-augmented generation systems. It can trace failures across ingestion, parsing, chunking, indexing, retrieval, reranking, context construction, generation, citations, authorization, and evaluation; design practical RAG architectures; build retrieval and groundedness evals; review prompt-injection and data-leakage risks; and improve observability, latency, and cost. It favors measurable evidence, reversible fixes, source-level authorization, and simple architectures over prompt-only fixes or unnecessary complexity.
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Skills
production-rag-genai-copilot
Starter prompts
- Debug why this RAG system is returning the wrong evidence.
- Design a production RAG architecture for this use case.
- Build an eval plan for retrieval, grounding, citations, and abstention.