NLP
RAG (Retrieval-Augmented Generation)
Giving an AI access to a knowledge base it can search before answering, so it uses real data instead of guessing.
Definition
An architecture that enhances LLM outputs by first retrieving relevant documents from an external knowledge base, then including that context in the prompt. Combines the creativity of generation with the accuracy of retrieval.
Why it matters
The most important production AI pattern, reduces hallucination, keeps answers current, and grounds AI in your actual data.
Related terms in NLP
BERT
Google's breakthrough AI model that reads sentences in both directions at once to understand context better.
Chain of Thought (CoT)
Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.
Context Window
The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
From vocabulary to outcomes
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