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Retrieval-Augmented Generation

[rɪˈtriːvəl ˈɔːɡmɛntɪd dʒɛnəˈreɪʃən]
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Last updated: December 9, 2024

Definition

A technique that combines information retrieval with text generation to produce more accurate and factual outputs. This approach grounds language model responses in specific knowledge sources.

Detailed Explanation

Retrieval-Augmented Generation (RAG) enhances language model outputs by first retrieving relevant information from a knowledge base and then using this information to inform the generation process. This approach helps maintain factual accuracy and provides source attribution. The technique involves vector similarity search context integration and controlled generation.

Use Cases

Question answering systems Documentation tools Knowledge base integration Factual content generation

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