How Retrieval Augmented Generation(RAG) works?
Have you ever wondered how machines write articles or answer your questions? While they seem smart, sometimes they get things wrong, don’t they? This is where Retrieval Augmented Generation (RAG) comes in, like a robot writer with a super brain!
Think of RAG as two helpers working together: Finder and Writer.
Finder: This helper scours the internet, like a librarian in a giant library of text and facts. When you ask a question or give a topic, Finder searches high and low for the most relevant information.
Writer: This creative writer uses Finder’s discoveries to craft an answer or text that’s both informative and accurate. Imagine Writer having all the facts Finder brings her, making her writing super smart!
Here’s an example to make it clearer:
You: Can you tell me about the tallest mountain in the world?
Finder: (diligently searching) Aha! I found several articles and websites. Mount Everest seems to be the winner!
Writer: (using Finder’s information) Mount Everest, located in the Himalayas, stands tall at 8,848.86 meters, making it the undisputed king of mountains!
See how RAG works? Finder finds the facts, and Writer uses them to create an accurate and informative answer. This means no more guessing or inaccurate information!
Here are some cool things about RAG:
- Smarter answers: No more “I think…” or “Maybe…” answers. RAG gives you confident and accurate information.
- More helpful chatbots: Imagine a chatbot that actually understands your questions and gives you useful, factual answers!
- Better articles and summaries: RAG can write articles or summaries that are both interesting and accurate, based on real information.
So, next time you encounter a smart machine, remember – it might have a little Finder and Writer team working behind the scenes, thanks to Retrieval Augmented Generation!