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RAG (Retrieval-Augmented Generation) pipeline

RAG (Retrieval-Augmented Generation) pipeline

Boost Your LLM with Real-Time Knowledge: A Quick Guide to Retrieval-Augmented Generation (RAG)

Mervin Praison
April 30, 2025

🔍 What Is a RAG Pipeline?

Retrieval-Augmented Generation (RAG) is a powerful technique that enhances language models by combining them with a retrieval system. Instead of relying solely on the model’s internal knowledge, RAG lets the model fetch relevant documents in real time and use them to generate more accurate and grounded responses.

🎯 Why Use RAG?

✅ Grounds responses in factual content
✅ Reduces hallucinations
✅ Keeps LLMs up to date without retraining
✅ Enables domain-specific applications (e.g., legal, medical, enterprise search)

📌 RAG pipelines are becoming the go-to method for building more reliable and domain-aware AI applications. It's like giving your LLM a memory boost — with real facts.