Pluralsight Building RAG Applications with LangChain 2026 [EN]

"Pluralsight Building RAG Applications with LangChain 2026" is a Non-Fiction > Educational title in English, distributed as a PDF file (4.8 MB). The book spans approximately 13 pages with 153 words. Measuring retrieval: Observe, evaluate and debug Software Engineer Sandy Ludosky Why you need to evaluate RAG ? Irrelevant data LLM can make mistakes LLM can hallucinate What you need to evaluate in RAG ? Retrieval Generation Usage What you need to evaluate in RAG ? Retrieval Generation Usage results results metrics Retrieval quality metrics Context recall Context and metadata precision Relevance Generation quality metrics Is the answer faithful? Usage metrics Token usage Cost Latency How to evaluate RAG ? LLM-as-a judge Logger Tracing Demo Logging and evaluating retrieval Using Python logg...