Retrieval Augmented Generation (RAGs): Part 4 @sandboxaq
Retrieval Augmented Generation (RAGs): Part 4  @sandboxaq
Uploaded February 2026 | Updated September 2026, 2 weeks ago
Large Language Models (LLMs) like ChatGPT, while incredibly impressive, are far from perfect. Sometimes, LLMs provide made-up responses that are untrue, a phenomenon known as hallucinations. Additionally, they have other drawbacks, like staleness and a lack of customization.

Retrieval Augmented Generation (RAG) integrates databases with AI to solve these issues. RAG combines text generation with data retrieval from specified sources, reducing hallucinations, addressing staleness by updating information, and providing external sources for verification.
It's like an LLM taking an open-book test!

Be sure to watch parts 1, 2, and 3 for more!

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Retrieval Augmented Generation (RAGs): Part 4

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