RAG for Beginners - Letting AI Answer from Your Own Documents
Retrieval-augmented generation explained without jargon: how an assistant looks things up in your files before answering, and where it still goes wrong.
AI models do not know your company's handbook, your product manuals or last week's meeting notes. RAG, short for retrieval-augmented generation, is the technique that fixes this: before answering, the system looks up the relevant pieces of your documents and hands them to the model. It is the idea behind most "chat with your files" tools.
Related guides
How AI Assistants Actually Work (Without the Jargon)
A plain-English tour of what happens when you type a message to an AI assistant, and why that explains both its strengths and its odd mistakes.
4 min read
Writing Your First Good Prompt
A simple five-part recipe for prompts that get useful answers on the first try, with before-and-after examples you can adapt to any assistant.
4 min read
Prompt Patterns That Work Across Every Assistant
Seven reusable prompting patterns, from role and few-shot examples to critique loops, with templates you can paste into any chatbot.
5 min read