From ChatGPT data export to your own knowledge AI: step-by-step with Ollama and Qdrant

The path to your own AI memory

In the first part of this article series, we saw that the ChatGPT data export is much more than just a technical function. Your exported data contains a collection of thoughts, ideas, analyses and conversations that have accumulated over a long period of time. But as long as this data is only stored as an archive on your hard disk, it remains just that: an archive. The crucial step is to make this information usable again. This is exactly where the development of a personal knowledge AI begins.

The idea is actually surprisingly simple: an AI should not only work with general knowledge, but also be able to access your own data. It should search through previous conversations, find suitable content and incorporate this into new answers. This turns an ordinary AI into a kind of digital memory. This is the second part of the article series, which now looks at the practical aspects.

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ChatGPT data export explained: How your AI chats become a personal knowledge system

ChatGPT data export

If you regularly work with an AI, then you probably know this: one thought leads to the next. You ask a question, get an answer, reformulate, develop an idea further. A short question suddenly turns into a longer dialog. Sometimes it even leads to entire projects.

But most of these conversations disappear again. They lie somewhere in the chat list, slide down and are forgotten over time. This is precisely one of the great features of modern AI systems: While previous conversations with colleagues, friends or advisors only existed in our memories, AI dialogs are completely preserved.

This means something crucial: With every conversation, a digital archive of your thinking is created. This is the first part of a small series of articles that will allow you to export your chat history from ChatGPT and use it effectively as a personal treasure trove of knowledge with your local AI system.

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The Iran-Israel conflict: Why this escalation is the West's strategic nightmare

Israel-Iran - Strategic nightmare

There are moments in the story when you sense that something is shifting. Not abruptly, not with a single decision, but like a line that slowly but inexorably runs through the dust of old certainties. The past few days have been such moments. I wondered for a long time whether I should really write this editorial - after all, I have already dealt with Iran in detail once before and made it clear that you can only understand this country and its power structures if you look at the decades-old lines. But it is precisely these lines that have now become visible again, more clearly than ever.

What makes me sit up and take notice is not just the hard facts: the nightly strikes, the overloading of Israeli missile defenses, the rhetoric of political leaders, the increasing shift of power in the background. It is the underlying pattern - the sense that here is a conflict entering a phase that will be a nightmare for any strategist. And that is precisely why I am writing this article: because many see the surface, but hardly anyone understands what is brewing underneath.

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When I was on the phone with a robot - how AI is conquering the phone and how to recognize it

Phone call with an AI robot

There are moments in everyday life that seem completely banal at first. You're sitting at your desk, working on an article, thinking about a new topic - and suddenly the phone rings. A number you don't recognize. In my case, it was an area code from the Ruhr region: 0233 something. As a self-employed person, you occasionally get calls like that. It's usually about advertising, services or advice that you don't actually need.

So I initially answered the call as normal. A friendly female voice answered on the other end. She introduced herself as an employee who works with Facebook and Instagram. Unsurprisingly, it was about advertising. About ads. About reach. Visibility for companies.

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Learning to think dialogically with AI: Why good questions are more important than good models

Learning to think dialogically with AI

The term „AI as a sparring partner“ now appears frequently. It usually means that an AI helps with writing, generates ideas or completes tasks faster. A first basic article on this has already been published in the magazine. This article now aims to show in reality how AI can be used as an effective thinking partner. In practice, it is clear that AI only becomes really interesting when it is not treated as a tool, but as a counterpart. Not in the human sense, but as something that answers, contradicts, leads on - or even mercilessly reveals where your own thinking is flawed.

This is exactly where the real benefit begins. Not where the AI „delivers“, but where it reacts. Where it does not simply process, but makes thought processes visible. This is more inconvenient than a classic tool - but also more sustainable.

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How animals perceive time - and what this means for the future of AI

Animals, AI and time perception

A cat is lying on the carpet. It does not move. It may blink briefly, turn an ear, sigh inwardly at the impositions of existence - and nothing else happens. The human looks at it and thinks: „Typical. Lazy cattle“. But what if the exact opposite is true? What if the cat is not too slow - but we are? This article was written after I watched a video by Gerd Ganteför on this topic and found it so interesting that I would like to present it here.

Humans have been observing animals for centuries and always come to the same wrong conclusions. We interpret their behavior with our speed, our perception, our inner clock. And this clock is, soberly considered, more of a cozy wall calendar than a high-speed processor. Perhaps the cat only seems so disinterested because its environment feels about as dynamic to it as a queue of officials on a Friday afternoon.

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When the Mac listens: What Apple's integrated AI with Gemini and Siri will mean for users in the future

Apple, Siri and Gemini

When you open a Mac today, you expect reliability. Programs start, files are in their place, processes are well practiced. Many have built up a way of working over years - some over decades - that works. You know where to click. You know your tools. And this is precisely where the quiet comfort lies. But for some time now, a change has been brewing in the background that is bigger than new colors, new icons or additional menu items. For the first time, a form of artificial intelligence is moving in not just as a single application, but closer to the heart of the operating system itself. Where daily routines are created.

That sounds abstract at first. Perhaps even a little futuristic. But basically it's about something very down-to-earth: the computer should better understand what is meant. Not just what is clicked on. Many people have so far experienced AI outside of their actual work. In chat windows, on websites, as an experiment or a gimmick. You try something out, perhaps be amazed, close the window again - and return to your normal everyday life.

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Digital ownership explained - How sustainable online assets are created

What is digital property

For centuries, property was something very tangible. You could touch it, walk on it or hold it in your hand. A house, a piece of land, a workshop, books on a shelf or tools in a drawer - these were all things that could be clearly assigned. They belonged to someone, were visibly present and generally remained so even when political, economic or social circumstances changed.

This article explains what digital property is, what forms it takes and how digital property can be created, especially in today's AI age.

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