RAG
Retrieval-Augmented Generation
RAG lets an AI search trusted information before it writes an answer. RAG stands for Retrieval-Augmented Generation.
Explained simply
RAG lets an AI search trusted information before it writes an answer. RAG stands for Retrieval-Augmented Generation.
1Question
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2Search trusted sources
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3Retrieve useful text
→
4Grounded answer
At a glance
- Category
- Development
- Difficulty
- Intermediate
- Introduced
- 2020
Real example
A workplace chatbot searches the latest HR policies before answering a leave question.
Why it matters
It can make answers more current, relevant and grounded in trusted information.
Timeline
Origins
The ideas behind RAG begin developing.
2020
RAG becomes a recognised term or technique.
Wider use
Research and practical applications increase.
Modern AI
RAG becomes connected to newer AI systems and products.
Today
RAG remains relevant in the development area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand RAG.
1Question
→
2Search trusted sources
→
3Retrieve useful text
→
4Grounded answer
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