RAG Explained: How AI Chats With Your Own Documents
Retrieval-augmented generation (RAG) explained: how AI answers from your documents, embeddings and vector search, chunking, and why RAG reduces errors.
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Clear explanations of how modern AI works, from RAG to agents.
Retrieval-augmented generation (RAG) explained: how AI answers from your documents, embeddings and vector search, chunking, and why RAG reduces errors.
What AI agents are, how they plan and use tools, what they can reliably do today, where they fail, and how to use them safely with the right guardrails.
How large language models work, in plain English: tokens, training, transformers and attention, fine-tuning, context windows and why they make mistakes.
Why AI chatbots hallucinate, making up facts, quotes and sources with confidence, which tasks are riskiest, and how to reduce errors and check answers.