Tech blog
What is RAG in AI? Reducing LLM hallunications with retrieval-augmented generation
Discover why LLMs hallucinate and how RAG reduces errors to deliver more reliable, personalised AI outputs in under five minutes.
One of the biggest challenges with Large Language Models (LLMs) is hallucinations. These occur when AI tools confidently produce plausible-sounding answers that are factually incorrect.
Why does this happen? And what can you do to reduce or prevent hallucinations?
In this episode of our Data and AI Engineering in Five Minutes series, Shivam Chandarana (Technical Lead, Softwire) explains:
- Why hallucinations happen
- How Retrieval-Augmented Generation (RAG) improves LLM workflows
- How RAG enables more personalised and reliable outputs
Author: Shivam Chandarana
Editor: Helen Jackson
Principal Technical Consultant
27 August 2025
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