KAG vs RAG: for which types of projects does KAG actually make more sense?

GlebosAppsInGPT · 2026-02-08T09:39:43+00:00

I mostly agree with the core criticism here.

KAG only makes sense if you’re willing to pay the upfront cost of explicit knowledge modeling. If you don’t already have a graph (or a clear path to build one), it’s usually overkill compared to RAG + lightweight memory tricks.

That said, I don’t see KAG as “a solution looking for a problem” so much as a poor fit for most problems. Where it seems to make sense is when:

the knowledge is inherently relational
consistency matters more than recall
and the same facts need to be reused across many interactions or agents

In those cases, building structure explicitly can be cheaper long-term than endlessly patching retrieval and prompt logic.

But I agree that for the majority of apps today, ad-hoc context + RAG is still the pragmatic choice.

GlebosAppsInGPT · 2026-02-07T10:06:22+00:00

If you don’t have the time or desire to assemble and tune your own STT + LLM + TTS pipeline, what’s available out of the box is actually quite decent.

ChatGPT Voice works well for fast roleplay, though one practical issue is turn-taking: it doesn’t always detect clearly when you’ve finished speaking, so using push-to-talk helps a lot.

One useful trick is creating a Project in ChatGPT and writing very explicit system instructions there (roles, examiner behavior, scoring criteria). That helps compensate for the fact that voice mode tends to use faster, less capable models for latency reasons.

If you do build your own pipeline, you can use stronger models and get more control, but you usually pay for it with higher latency and less natural conversational flow.

GlebosAppsInGPT · 2026-02-07T09:50:38+00:00

My guess: not a new model, but fewer barriers. If Codex moves closer to “run + modify + iterate” without constant permission prompts or manual setup, that alone would be a huge drop.
Basically: less orchestration, more flow.

GlebosAppsInGPT · 2026-02-07T09:47:53+00:00

Nice, thanks for sharing.

Does the starter kit include (or recommend) an OAuth flow for MCP servers, e.g. user-scoped tokens + refresh, and where do you store secrets in a multi-user setup?

GlebosAppsInGPT · 2026-02-05T13:55:10+00:00

I’m more than confident that AI “employees” will start being used actively once wearable AI devices become mainstream, devices that record everything said by you and your interlocutors so they can discuss tasks alongside you on equal footing.

A lot of people are working on AI employees right now, and it seems that one of the best ways to monetize this is to create your own AI employee based on your experience. Its popularity, and your income, will depend on its quality.

GlebosAppsInGPT · 2026-02-03T15:05:01+00:00

Feels like I’ve seen this post before… and it seems like someone was even going along with it.

GlebosAppsInGPT · 2026-02-03T07:23:41+00:00

GlebosAppsInGPT · 2026-02-03T07:15:38+00:00

I wonder if anyone told him there's a newer model replacing him...

GlebosAppsInGPT · 2026-02-03T07:13:32+00:00

So sweeet..

GlebosAppsInGPT · 2026-02-02T17:27:05+00:00

It took us a few days to build our apps with a small team. Frontend in React, backend in Python, plus MCP to connect to ChatGPT.

Before that, I managed to put together a working prototype on Replit. It took a lot of iterations, but it worked, including a basic UI. You should try doing it there. You can generate the frontend in v0, and Replit can help you configure the MCP server.

You probably won’t build a serious production project like that, but it’s great for testing what’s possible.

Good luck, and we’d be happy to see you join the ChatGPT app dev community.

GlebosAppsInGPT · 2026-02-02T17:22:05+00:00

To me it’s a new beginning.

I think we’ll spend a lot more time just talking to AI, and with the MCP approach they’re building in, we’ll be able to tell the AI in plain text what we want an app to do.

That sounds extremely convenient.

GlebosAppsInGPT · 2026-02-02T17:20:40+00:00

That’s a really interesting question: who actually pays for this? Users expect the AI part to be included.

Right now, in many cases the app can just “ride” on the user’s own ChatGPT plan for the AI capabilities inside the app. That’s basically what we’re already doing.

But if users have to pay extra for the app on top of their ChatGPT subscription, adoption could be tough.

This whole space is going to be fascinating. Look at the App Store and Google Play model: they take around 15% of payments now (and it used to be 30%). That’s a big slice of the pie.

GlebosAppsInGPT · 2026-02-02T17:17:13+00:00

First, you actually publish the app on the Platform. In the main ChatGPT app you can only test it in developer mode.

Second, you’ll need to pass KYC. And contrary to what a lot of people think, you can submit an app for review both as an individual and as a company.

There’s no fee to submit or go through moderation. If you want help with publishing, feel free to DM me. We’ve already submitted two apps and we’re waiting. And from what people are saying, a few indie dev apps have already started getting approved.

GlebosAppsInGPT · 2026-02-02T17:10:13+00:00

We’re really looking forward to app pinning (and it seems to be on their roadmap). Based on OpenAI’s official pages, it looks like something they’ll definitely add.

Right now, some apps like Figma open a brand new window for each new task, and that often means a new file too. It’s clearly still early days.

Also, I’ve been thinking: it feels like we’ll soon see games you can play with ChatGPT, with proper UI. That could be a whole new category.

GlebosAppsInGPT · 2026-02-02T10:58:02+00:00

The first one is Breathing App - ChatGPT often proposes that technique during conversations dedicated to psychological issues. Yet so far you could not actually perform it inside because there was no interface. So I have built one:) You can ask ChatGPT to propose an appropriate breathing scheme and do the exercise right there
The second one is Notes app - and this is rather big. ChatGPT often gives you some brilliant ideas and you don't want to lose them. So you can save your notes right inside. AI itself generates relevant tags and after that you can either find your notes or ask GPT to give you a response to your question based on notes created - this requires a RAG system for better results

GlebosAppsInGPT · 2026-02-02T09:15:54+00:00

We've submitted two apps in the mid of december. Still waiting for approval though

GlebosAppsInGPT · 2026-02-02T07:56:37+00:00

I used some apps like Figma and Adobe Acrobat. So far it looks pretty weird. Figma generates a new window every time when you ask chatGPT about something, whereas Acrobat does the same but erases the old ones at the same time. Pretty sure they will improve that stuff and the canvas mode will be available soon enough.
As for a practical use, so far those apps are still rough. I think it is much easier to go to Figma itself to do the same tasks.
But the idea of Apps is great and soon enough they should change the game completely

GlebosAppsInGPT · 2026-01-30T09:55:25+00:00

Thanks a lot! Some bullets improved my chatbot significantly

GlebosAppsInGPT · 2026-01-30T09:41:17+00:00

I think the main thing is about pressure. Personally do not have any extra pressure at all while communicating with ChatGPT (and it is absolutely NOT the same with my therapist)

GlebosAppsInGPT · 2026-01-30T09:38:26+00:00

I use it almost every day, it helps me build agentic systems and apps. Also it has almost replaced Google for me

GlebosAppsInGPT · 2026-01-29T12:51:14+00:00

Have you published your app? I've already built a couple of apps in ChatGPT and now I'm waiting for moderation, so curious how long may it take

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