Artificial Intelligence
Retrieval-Augmented Generation (RAG)
Also known as: RAG & Retrieval-Augmented Generation
Plain English
AI that looks things up before answering.
Definition
RAG is a technique that combines glossaryInformation RetrievalInformation retrieval is the process of finding relevant information from large datasets based on a query or input.Open glossary term with glossaryGenerative AIGenerative AI refers to systems that create new content such as text, images, or code based on learned patterns from data.Open glossary term, allowing glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term to use external data to produce more accurate and context-aware responses.
In practice
Used to improve glossaryAI OutputAI output refers to any result generated by an AI system, including text, images, predictions, or decisions.Open glossary term by grounding glossaryResponseA response is the data or result returned by a server after receiving a request.Open glossary term in real glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term rather than relying solely on pre-trained knowledge.
The reality
Without retrieval, AI guesses. With it, glossaryResponseA response is the data or result returned by a server after receiving a request.Open glossary term become more reliable and useful.
Also known as
RAG & Retrieval-Augmented Generation
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is RAG?
RAG combines retrieval and AI generation to improve glossaryResponseA response is the data or result returned by a server after receiving a request.Open glossary term.
Why is RAG important?
It makes glossaryAI OutputAI output refers to any result generated by an AI system, including text, images, predictions, or decisions.Open glossary term more accurate and grounded.
Where is RAG used?
In AI glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term, glossarySearchSearch is the functionality that allows users to find content or information by entering queries. It relies on indexing, metadata, and relevance algorithms to return useful results.Open glossary term, and knowledge tools.
What problem does RAG solve?
It reduces hallucination by using real glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term.
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