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.
71,592
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 →

Employees412kRevenue$45BProfessional Services
Retrieval-Augmented Generation (RAG)High confidence
Employees738kRevenue$63BBusiness Consulting and Services
Retrieval-Augmented Generation (RAG)High confidence
Employees244kFinancial Services
Retrieval-Augmented Generation (RAG)High confidenceEmployees700Construction
Retrieval-Augmented Generation (RAG)High confidence
Employees293kComputer Hardware Manufacturing
Retrieval-Augmented Generation (RAG)High confidence
Employees731kRevenue$27BIT Services and IT Consulting
Retrieval-Augmented Generation (RAG)High confidence
Employees328kRevenue$50BProfessional Services
Retrieval-Augmented Generation (RAG)High confidence
Employees68kRevenue$4.8BIT Services and IT Consulting
Retrieval-Augmented Generation (RAG)High confidence
Employees374kRevenue$17BIT Services and IT Consulting
Retrieval-Augmented Generation (RAG)High confidence
Employees330kSoftware Development
Retrieval-Augmented Generation (RAG)High confidence
Showing top companies out of 71,592 that implement Retrieval-Augmented Generation (RAG). Get the full list on TheirStack.
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