Hey devs 👋

I just released a full step-by-step video tutorial on how to build a document-chatting AI chatbot using Python and open-source tools. No heavy setup, just clean and practical.

We’re using:

  • 🧠 Gemma (via Google's Generative AI SDK) for smart responses

  • 📄 Docling to parse documents like PDFs

  • 📦 Qdrant for fast vector search and retrieval

  • 🐍 All powered by good old Python

🔗 Watch the full tutorial here:
https://youtu.be/TaLg1yZbS_s?si=gzovkKrlWPZHWc9n

🚧 What You’ll Learn

  • How to extract embeddings and store them in Qdrant,
  • Parsing docs with Docling and sending queries through Gemma, and
  • Building a whole Retrieval-Augmented Generation (RAG) loop, start to finish.

I would love to know what you think of the project or what you’d add next. You can also share what other project you would love me to build.