RAG stands for Retrieval-Augmented Generation, an artificial intelligence approach that allows an AI model to retrieve information from external sources and use it to generate a response.
What does RAG mean?
The term combines two concepts: the retrieval of relevant information and the generation of a response based on that information. The model can therefore use documents, databases, or other knowledge sources as additional context.
What is RAG used for in artificial intelligence?
RAG is commonly used to allow AI agents and conversational assistants to access specialized, recent, or organization-specific information. This approach helps generate responses that are better aligned with the information actually available.
In summary, RAG enhances AI-generated responses by allowing the system to retrieve and use relevant information from external sources.
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