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MPMEET PATELmeetp2022.hashnode.devJun 7 · 8 min read

My RAGAS Scores Varied Between Runs. That Was the Most Useful Finding of All

I have a document assistant that answers questions from enterprise cloud documentation. Azure OpenAI generates the answers, Azure AI Search handles retrieval. It works. People use it. The answers soun

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ADAnia Danilecanna-danilec.hashnode.devMay 18 · 14 min read

RAG Evaluation with RAGAS: Measuring Faithfulness, Context Precision, and Recall in Production

Key takeaways: RAGAS gives you four core metrics that split RAG failures into retrieval vs. generation problems Faithfulness catches hallucinations; Context Recall catches retrieval gaps Most metri

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AAAbstract Algorithmsabstractalgorithms.devMar 29 · 16 min read

LLM Evaluation Frameworks: How to Measure Model Quality (RAGAS, DeepEval, TruLens)

TLDR: 📏 Traditional ML metrics (accuracy, F1) fail for LLMs because there's no single "correct" answer. RAGAS measures RAG pipeline quality with faithfulness, answer relevance, and context precision.

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AAniblog.anirudha.devNov 16, 2025 · 14 min read

Building AI Tools You Can Trust

You want to build an AI application. Something useful. Something your users can rely on. But here's the problem: How do you know it's actually good? You can build an app that generates summaries, answers questions, or writes emails. It works. Your te...

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AAniblog.anirudha.devNov 9, 2025 · 10 min read

Teaching AI to Grade Other AI

If you’ve been following the world of AI development, you might’ve heard the phrase “LLM-as-Judge.”It sounds dramatic, like some sci-fi overlord where one AI passes judgment on another. But it’s actually one of the most important evolutions in evalua...

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AAniblog.anirudha.devOct 26, 2025 · 5 min read

Unit Tests for Intelligence

A few months ago, as I was exploring machine learning while working on a project, one of my models kept behaving in a weird way. I had built a classifier to detect cats in images. During training, accuracy was awesome, near 99%. But in production, it...

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DRDEEPESH RANJAN KHATRIagents-and-beyond.hashnode.devOct 2, 2025 · 6 min read

Showcasing CrewAI and Ragas: Building SEO Report Automation with Generative AI Agents

A few months back, I had the chance to present a talk at an AI meetup. My topic was Generative AI Agents, and to make the session more practical, I prepared a small hands-on demo using CrewAI and Ragas. The demo was simple but effective:👉 Generate S...

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NSNishant Singhnishant-singh.hashnode.devJun 3, 2025 · 6 min read

Evaluating RAG Systems with Ragas: Complete Guide with Examples

🧠 What is Ragas? Ragas (Retrieval-Augmented Generation Assessment) is an open-source Python framework to automatically evaluate the performance of RAG pipelines. RAG systems retrieve documents from a knowledge base and use them to generate answers. ...

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NSNishant Singhnishant-singh.hashnode.devJun 3, 2025 · 3 min read

Retrieval-Augmented Generation (RAG): Architecture & Evaluation with Ragas

As Large Language Models (LLMs) become powerful tools for question answering and summarization, one major challenge still remains: retrieving up-to-date and domain-specific information. This is where Retrieval-Augmented Generation (RAG) systems come ...

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FSFarzad Sunavalafarzzy.hashnode.devDec 10, 2024 · 9 min read

Building and Evaluating a Retrieval Augmented Generation (RAG) Pipeline with LlamaIndex, Azure AI Search, Azure OpenAI, Literal AI, and RAGAS

💡 DISCLAIMER: This post is intended for educational purposes only. Actual results may vary depending on your dataset, environment, and configurations. Retrieval Augmented Generation (RAG) solutions combine Large Language Models (LLMs) with externa...

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Trending tags this week

My RAGAS Scores Varied Between Runs. That Was the Most Useful Finding of All

RAG Evaluation with RAGAS: Measuring Faithfulness, Context Precision, and Recall in Production

LLM Evaluation Frameworks: How to Measure Model Quality (RAGAS, DeepEval, TruLens)

Building AI Tools You Can Trust

Teaching AI to Grade Other AI

Unit Tests for Intelligence

Showcasing CrewAI and Ragas: Building SEO Report Automation with Generative AI Agents

Evaluating RAG Systems with Ragas: Complete Guide with Examples

Retrieval-Augmented Generation (RAG): Architecture & Evaluation with Ragas

Building and Evaluating a Retrieval Augmented Generation (RAG) Pipeline with LlamaIndex, Azure AI Search, Azure OpenAI, Literal AI, and RAGAS