Why Is RAG So Popular? Here Are Our Top 7 Reasons

RAG (retrieval-augmented generation) is solving AI's biggest problem: it makes stuff up. RAG looks stuff up before answering, grounding AI in reality instead of random internet data from 2021.

7 ways RAG is changing work

1. Customer support that doesn't suck—accurate answers from real docs
2. Content creation that knows things—fast research without browser tabs
3. Company knowledge that's findable—search in plain English across all tools
4. Research that connects dots—synthesize insights across papers
5. People & HR that helps—instant answers about policies and benefits
6. Engineering that scales—accessible code knowledge across the org
7. Sales intelligence that converts—deep customer insights contextually

Read the full article for detailed examples and see why RAG-powered knowledge is the future.