How RAG Actually Works: A Beginner-Friendly Guide
Knowledge base augmentation Retrieval-Augmented Generation (RAG) is a design pattern that addresses both the two LLM limitations (a) Their knowledge is frozen at training time (b) They don’t “see” your private data (unless you explicitly give it to them). Instead of asking the model to rely solely on what’s stored in its internal parameters, you let […]
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