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?

  1,958 active AI roles across 201 companies in our index reference RAG as of today. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).

• Which companies are hiring for RAG roles?

  The companies with the most active RAG listings are: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 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 (5%).

• What sectors invest most in RAG?

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