I tried many methods to make ADK output deepseek-r1 or qwen3 thinking content, but I failed. If you know how to implement it, please let me know.

You can now build your own Retrieval-Augmented Generation (RAG) agent that answers questions using your documents from Google Drive—and it only takes a few minutes with Google’s Agent Development Kit (ADK). In this brand-new tutorial, I’ll walk you through a complete ADK workflow that: ✅ Connects your agent to Google Cloud and sets up a knowledge base ✅ Uploads and manages your documents for smarter responses ✅ Instantly answers questions with citations from your actual files ✅ Expands easily with new docs to make your agent even more powerful This is the perfect crash course if you're looking to break into real-world AI development and learn RAG from the ground up. And yes—I'm giving away the entire source code for free. Ready to build your own document-aware AI assistant? Click the link below to watch the full tutorial—and make sure to subscribe so you don’t miss future drops. Cheers, Brandon Hancock 🧑‍💻 P.S. Here is the source code: 👉 https://github.com/bhancockio/adk-rag-agent