Technology
What does Retrieval-Augmented Generation (RAG) mean?
Retrieval-augmented generation (RAG) combines a language model with a search over your own content. Before the model answers, the most relevant documents from your knowledge base are retrieved and passed in as context.
The result: answers are based on your actual data rather than the model's general training knowledge – with a reference to the original source. RAG reduces hallucinations and is what makes AI dependable enough for real business use.
Related terms
Vector Database
A database that stores embeddings and searches them for semantic similarity at high speed.
Embedding
A numeric representation of text that makes semantic similarity measurable.
Knowledge Base
A central collection of company knowledge that AI agents can draw on.
Hallucination
A plausible-sounding but incorrect or fabricated answer from a language model.
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