What is Retrieval-Augmented Generation (RAG)? | Mohamed Yassen
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What is Retrieval-Augmented Generation (RAG)? | Mohamed Yassen
Retrieval -Augmented Generation (RAG): is an artificial intelligence framework that enhances large language models (LLMs) by combining their text-generation ability with a retrieval system that fetches relevant, up-to-date information from an external knowledge source before generating a response. when you ask any LLM , it gives you answers but ...
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Retrieval-augmented Generation Explained
RAG explained !! RAG (Retrieval-Augmented Generation) controls how AI systems find and use information before generating answers. It combines information retrieval with text generation so models don’t rely only on training data. It includes document ingestion, chunking, embeddings, vector databases, similarity search, and context injection. Good RAG design improves accuracy, relevance, trust, and scalability, and significantly reduces hallucinations. With RAG, you control what data the AI can ac
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RAG explained !! RAG (Retrieval-Augmented Generation) controls how AI systems find and use information before generating answers. It combines information retrieval with text generation so models don’t rely only on training data. It includes document ingestion, chunking, embeddings, vector databases, similarity search, and context injection. Good RAG design improves accuracy, relevance, trust, and scalability, and significantly reduces hallucinations. With RAG, you control what data the AI can ac
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