LLM vs RAG: How AI's Brain and Library Differ

View profile for Arbaz Khan

Full Stack Web Developer | PHP & Codeigniter | ERP, Finance & Real Estate Systems | API Integration

RAG vs LLM: What’s the Difference and Why It Matters in AI? Today I explored one of the most important concepts in AI: LLM (Large Language Models) vs RAG (Retrieval-Augmented Generation). difference in simple words: LLM Uses only trained data to generate answers (limited to what it learned). RAG Uses trained data + external knowledge base (like documents, databases, or APIs) to fetch fresh info before generating output. In short: LLM = Brain RAG = Brain + Library This combination makes RAG more powerful, accurate, and useful for real-world applications like chatbots, enterprise search, and document assistants. #AI #MachineLearning #LLM #RAG #ArtificialIntelligence #TechLearning

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