DSPy in Python: Optimize RAG Prompts Against Eval Metrics

DSPy turns RAG tuning from guesswork into metric-driven optimization—learn a reproducible workflow to tune retrieval and prompts. See practical outcomes: measure hit rate on a tiny corpus, wire DSPy to an OpenAI model, run labeled evaluation, and improve accuracy with automated prompt search. Examples use DSPy (dspy), RagQA signatures, OpenAI integration and the BootstrapFewShot teleprompter to evaluate and pick the best run. Subscribe for practical LLM engineering tutorials on prompt engineering, RAG optimization, and reproducible evaluation. #RAG #DSPy #PromptEngineering #OpenAI #LLM #…