Companies implementing Retrieval-Augmented Generation (RAG)

Retrieval‑augmented generation (RAG) is a method that improves generative AI outputs by pulling factual information from external sources, addressing the limitation of large language models that rely only on internal parameters for knowledge.

60,930

companies

List of companies that implement Retrieval-Augmented Generation (RAG)

This is sourced from job postings — companies only hire for what they actively use or plan to adopt · how we source this →

CompanyCountryIndustryEmployeesRevenueTechnologies
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United States

Computer Hardware Manufacturing

293k

Retrieval-Augmented Generation (RAG)

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United Kingdom

Professional Services

407k

$45B

Retrieval-Augmented Generation (RAG)

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United Kingdom

Professional Services

328k

$50B

Retrieval-Augmented Generation (RAG)

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United States

Financial Services

244k

Retrieval-Augmented Generation (RAG)

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Ireland

Business Consulting and Services

738k

$63B

Retrieval-Augmented Generation (RAG)

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India

IT Services and IT Consulting

717k

$27B

Retrieval-Augmented Generation (RAG)

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United States

Financial Services

200k

$75B

Retrieval-Augmented Generation (RAG)

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United States

Computer Hardware Manufacturing

51k

$27B

Retrieval-Augmented Generation (RAG)

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United States

IT Services and IT Consulting

68k

$4.8B

Retrieval-Augmented Generation (RAG)

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United States

IT Services and IT Consulting

209k

$50B

Retrieval-Augmented Generation (RAG)

Showing top companies out of 60,930 that implement Retrieval-Augmented Generation (RAG). Get the full list on TheirStack.

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