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Would you send your innovative research ideas to a commercial search provider⁉️🧐

I definitely don't want that, but that's exactly what many tools for searching for funding programs do. 😬

👉 That's why I started the Semantic Funding Search (SeFuSe) project. With SeFuSe, you can run the entire setup locally, keeping your data on your own server. 🔒

🔍 What is SeFuSe?

SeFuSe helps you find relevant funding programs in the German Federal Funding Database (Förderdatenbank des Bundes) - simply by describing your project idea.

No keyword guessing, no endless scrolling - SeFuSe uses semantic search powered by modern embedding models to identify programs that best fit your needs, providing short summaries and direct links to official entries.

Watch the demo

Watch the video

⚙️ How it runs

SeFuSe is built as a modular, open-source stack using:

  • 🧱 FastAPI for the backend
  • 🧠 Ollama for local embedding model inference
  • 📦 Qdrant as the vector database
  • 💻 Streamlit for the user interface

It's all managed through Docker Compose, which makes deployment and updates easy and gives you full control over your data.