When the AI Doesn’t Know the Answer — It Looks It Up

📰 Medium · Machine Learning

Learn how RAG (Retrieval-Augmented Generation) turns a forgetful AI into one that can check its sources, improving its accuracy and reliability

intermediate Published 13 Jun 2026

Action Steps

Understand the limitations of Transformer-based AI models
Learn about RAG and its role in improving AI accuracy
Implement RAG in AI models to enable source checking
Test and evaluate the performance of RAG-enabled AI models
Apply RAG to real-world applications, such as question-answering and text summarization

Who Needs to Know This

Developers and researchers working with AI models can benefit from understanding RAG, as it enhances the performance of Transformer-based AI models

Key Insight

💡 RAG enables AI models to check their sources, reducing errors and improving accuracy

Key Takeaways

Learn how RAG (Retrieval-Augmented Generation) turns a forgetful AI into one that can check its sources, improving its accuracy and reliability

Full Article

Title: When the AI Doesn’t Know the Answer — It Looks It Up

URL Source: https://medium.com/@ankan4445/when-the-ai-doesnt-know-the-answer-it-looks-it-up-d6ef2884c97e?source=rss------machine_learning-5

Published Time: 2026-06-13T18:13:35Z

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# When the AI Doesn’t Know the Answer — It Looks It Up

[![Image 2: Ankan Mondal](https://miro.medium.com/v2/da:true/resize:fill:32:32/0*u7ofbup29CMuRx5-)](https://medium.com/@ankan4445?source=post_page---byline--d6ef2884c97e---------------------------------------)

[Ankan Mondal](https://medium.com/@ankan4445?source=post_page---byline--d6ef2884c97e---------------------------------------)

4 min read

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Jun 13, 2026

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How RAG turns a forgetful AI into one that can actually check its sources. No PhD required.

You’ve used a Transformer-based AI (we covered those in Part 1). It’s smart, fast, and impressively articulate.

And then it confidently tells you that a company’s latest earnings were $4.2 billion — when they were actually $2.1 billion. Or it summarizes a policy doc that was updated last month and gives you the old version.

> It’s not lying. It just doesn’t know what it doesn’t know.

This is the problem RAG was built to fix.

### The Intern Analogy

Imagine you just hired a brilliant intern.

Read full article → ← Back to Reads

When the AI Doesn’t Know the Answer — It Looks It Up

Key Takeaways

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