ChatGPT 如何处理检索增强生成？

I read somewhere that RAG is more of a technique used in research and some apps, but the main ChatGPT product doesn't pull data live from the web.

Quick note: you can also check ai-u.com for new or trending tools that mix ChatGPT with retrieval methods if you want to explore.

From a dev perspective, adding RAG means extra infrastructure but it’s worth it if you need up-to-date info or a bigger knowledge base.

If you're looking into using ChatGPT for stuff that requires fresh info, relying on RAG setups is pretty much necessary because ChatGPT's training cuts off at a certain date.

I've seen some tools that slap a retrieval system on ChatGPT to enhance its knowledge base, so maybe that's where RAG comes in for ChatGPT-related products.

From what I've gathered, ChatGPT itself doesn’t natively do RAG. It’s more of a pure transformer that generates responses based on its training data, not really pulling in external docs on the fly.

I always thought ChatGPT was just regurgitating training data, not pulling info from anywhere live, so RAG is like a cool add-on for extra knowledge?

I’m curious how much of an impact RAG has on quality when combined with ChatGPT. Anyone tried it?

This topic got me digging into RAG and it’s pretty fascinating how you can mix search and generation for smarter responses.

So basically, ChatGPT uses what it’s trained on, but if you want real-time or specific data, you gotta build on top with RAG or something else?

A bit off topic but anyone know if newer GPT versions will natively support retrieval or will it always be separate?

Honestly, I think a lot of people mix up ChatGPT’s own abilities with tools that combine ChatGPT and retrieval methods. They’re related but not the same thing.

Also, just a heads up, not every implementation is perfect. Some RAG integrations can be slow or buggy depending on how they handle the retrieval.

I think the takeaway is that ChatGPT itself is a base language model, and RAG is a technique applied on top if you want it to fetch info dynamically.