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.

48,510

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

328k

$50B

Retrieval-Augmented Generation (RAG)

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United Kingdom

Professional Services

401k

$45B

Retrieval-Augmented Generation (RAG)

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United States

Financial Services

244k

Retrieval-Augmented Generation (RAG)

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United States

IT Services and IT Consulting

207k

$50B

Retrieval-Augmented Generation (RAG)

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Ireland

Business Consulting and Services

738k

$63B

Retrieval-Augmented Generation (RAG)

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France

IT Services and IT Consulting

420k

$24B

Retrieval-Augmented Generation (RAG)

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United States

Computer Hardware Manufacturing

46k

$27B

Retrieval-Augmented Generation (RAG)

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United States

Software Development

237k

$198B

Retrieval-Augmented Generation (RAG)

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United States

Financial Services

200k

$75B

Retrieval-Augmented Generation (RAG)

Showing top companies out of 48,510 that implement Retrieval-Augmented Generation (RAG). Get the full list on TheirStack.

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