How to Effectively Evaluate RAG Systems: Metrics, Tools, and Best Practices

Evaluating Retrieval‑Augmented Generation (RAG) systems requires both component‑level and end‑to‑end metrics—such as context relevance, recall, answer relevance, and groundedness—and can be automated with tools like TruLens, RAGAS, LangSmith, and Langfuse, enabling systematic selection and optimization of LLM applications.

AI metricsLLMLangSmith

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How to Effectively Evaluate RAG Systems: Metrics, Tools, and Best Practices

Code DAO

Dec 24, 2021 · Artificial Intelligence

Understanding Neural Network Predictions with Integrated Gradients

This article introduces the Integrated Gradients (IG) method for explaining deep neural networks, compares it with saliency maps and Shapley‑based approaches, discusses its axiomatic foundations, and provides a step‑by‑step guide to implementing IG using the open‑source TruLens library, including custom baselines and attribution measures.

Attribution MethodsDeep LearningIntegrated Gradients

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Understanding Neural Network Predictions with Integrated Gradients