Hey everyone, I’m currently working on setting up a local, company-internal AI solution for a small team (30 people), and I’m trying to keep it as lean and cost-efficient as possible. The goal is to build something that can securely use internal company knowledge (documents, processes ...) without relying heavily on external APIs or expensive infrastructure. Ideally, it should run locally or on minimal cloud resources. I’d really appreciate any guidance, especially on: - Recommended open-source models / frameworks (I would use Gemma 4 atm) - Best approaches for integrating internal data (RAG?) - Practical setups that actually work in production - If anyone here has already built something similar or can point me in the right direction, that would be super helpful. Thanks in advance 🙌

I’m Yannik Huber, 21 years old, an AI student based in Düsseldorf. Alongside my studies, I run my own AI agency and I’m currently building what aims to be the first student-led, AI-focused consulting company in Corporation with my University. My main focus is on applying AI in real business contexts, not just theory. I’m especially interested in working on projects that create tangible value for companies and push practical implementation forward. I joined this community to keep learning, connect with like-minded people, and exchange ideas around real-world AI use cases. Looking forward to connecting and building together 💪🏻

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