Large Language Models
Retrieval-Augmented Generation
RAG
Large Language Models· Advanced
Definition
An architecture enhancing LLM responses by first retrieving relevant information from an external knowledge base, then conditioning generation on that context. RAG grounds model outputs in verifiable information — reducing hallucination and enabling knowledge beyond the context window.
Maxx Stacks Context
Flow: Query → Embed → Retrieve (vector DB) → Augment prompt → Generate response.
Tags
#knowledge-base#vector-db#grounding#hallucination
MS
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