The Hallucination Problem You ask your AI: "What's our company's revenue for Q3...
The Hallucination Problem
You ask your AI: "What's our company's revenue for Q3 2026?"
You get a confident, detailed answer. Total fabrication.
This is hallucination. The model makes up answers when it doesn't have information.
RAG solves this by giving your AI access to real data before answering.
You ask ChatGPT about your company's internal policies. It makes something up. It sounds confident....
Author(s): Anthony Usoro Originally published on Towards AI. RAG ImageIf you’ve spent any time with ChatGPT, Claude, or any large…
RAG sounds like a research paper. It's three moves: retrieve relevant chunks, stuff them in a prompt, ask the model to answer…
RAG sounds complicated. It's not. But a lot of introductions to RAG make it sound more mysterious...
Explore the limitations of foundation models and how retrieval-augmented generation (RAG) can address these limitations so chat,…
There is a specific failure mode in enterprise RAG deployments that is distinct from hallucination...
