RAG

Frequently asked questions

• What is RAG in AI?

  Retrieval-Augmented Generation: grounding LLM responses by retrieving relevant documents from a vector store or search index before generation, so answers cite real sources instead of hallucinating. Primary AI lifecycle stage: agents and application.

• How many AI roles reference RAG right now?

  2,073 active AI roles across 201 companies in our index reference RAG as of today.

• Which companies are hiring for RAG roles?

  The companies with the most active RAG listings are: Amazon (170 roles), JPMorgan Chase (150 roles), Adobe (78 roles), Google (78 roles), Capital One (69 roles).

• What AI lifecycle stage does RAG belong to?

  RAG primarily belongs to the agents and application stages of the AI lifecycle. In current hiring, RAG roles concentrate at: agents (85%), application (4%).

• What sectors invest most in RAG?

  The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.