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Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG)
Connects a model to your knowledge base so it can cite and ground answers in your content—improving accuracy and reducing hallucinations.
Example:
Search Confluence → retrieve pages → generate a cited summary.
Related terms
LLM
Knowledge Cutoff
Grounding
Vector Database
Semantic Search
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