It all started with curiosity. I was fascinated by large language models—Mistral, Magistral, and the like—but I wanted to see if I could push them beyond just responding to queries. Could a system truly learn from its interactions, improve itself, and handle complex, domain-specific knowledge without constant human fine-tuning?
The first experiments were humble. I kept logs of queries—sometimes obscure ones like “fghtsumab”—just to see how the model interpreted messy or ambiguous input. I’d tweak prompts, observe patterns, and slowly, a story emerged: the core LLM could do a lot, but it needed structure to evolve.
That’s where RAG (Retrieval-Augmented Generation) came in. By connecting the LLM to Qdrant, I could store knowledge chunks from my experiments, medical guidelines, and even the model’s own outputs. This wasn’t just memory—it was living knowledge. When the model made a mistake or misunderstood a query, I could correct it directly in Qdrant, and the system would remember it next time. Each correction, each tweak, became part of an evolving intelligence.
I named the system PyDxAI, a nod to its roots in medical diagnostics but also a reflection of its growth mindset. Unlike traditional AI deployments, PyDxAI doesn’t just rely on a static dataset. It continuously integrates new knowledge, learns from mistakes, and applies corrections in real-time. The logs, which started as simple experiments, became a foundation for autonomous learning.
Along the way, I realized that storytelling isn’t just for humans—it helps AI too. Structuring queries, tracking reasoning steps, and logging outcomes turned into a feedback loop that reinforced understanding. It’s almost like teaching a student: show examples, correct errors, encourage curiosity, and let them internalize knowledge.
Today, PyDxAI can handle specialized medical queries, improve its reasoning over time, and self-correct based on real-world interactions. And the journey isn’t over. Every log, every RAG retrieval, and every Qdrant correction adds another layer to an AI that doesn’t just answer questions—it learns, grows, and evolves.
Can see it in action at https://mikai.atpattaya.com ( alpha version 24 hours a day) and https://pydxai.atpattaya.com (beta version just open on workday 8.30-17.00 Bangkok time)