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Here I share real-world experience, practical tutorials, and rigorous analysis about LLMs, Prompt Engineering, RAG, AI Agents, and building AI-powered products.

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RAG in Practice: Building Reliable LLM Apps with Retrieval-Augmented Generation

2026/01/04

Retrieval-Augmented Generation (RAG) is the fastest path to trustworthy, up-to-date LLM applications. This guide explains how RAG works, what breaks in production, and how to design a robust pipeline—from chunking and embeddings to evaluation and guardrails.

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RAG in Practice: Building Reliable LLM Apps with Retrieval-Augmented Generation

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2026/01/0410 min1

RAG in Practice: Building Reliable LLM Apps with Retrieval-Augmented Generation

RAGLLMPrompt_EngineeringAI_Engineering