Retrieval-augmented generation salary in the US

Retrieval-Augmented Generation (RAG) is a technique in natural language processing (NLP) that enhances the accuracy and relevance of responses generated by large language models (LLMs). RAG works by combining the strengths of both retrieval-based models, which extract information from external sources, and generative models, which create original content.

In December 24, the median salary range for US Retrieval-augmented generation jobs was $140K to $217K per year. In this month we've identified salaries as high as $425K, and as low as $44K.

Salary Trend

$140K-217K
Median Salary
$250K-425K
High Salary
$44K-83K
Low Salary

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Retrieval-augmented generation Salary breakdown for October 2024

The most common maximum salaries in US job vacancies posted last month: