Building Open-Source Agentic RAG with DeepSeek

Thierry Damiba, Developer Advocate
Bastian Hofmann, Director, Enterprise Solutions
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What we'll cover:

Watch for an in-depth look at how to deploy DeepSeek for  agentic retrieval-augmented generation, purely open-source and in your own environment.

We’ll walk through orchestrating your agentic AI application, and ensuring secure, high-performance, privacy-first vector search with Qdrant — all while maintaining full control over your data.

Learning outcomes:

  • Build privacy-first AI Agents
  • Deploy DeepSeek models locally
  • Secure vector search data with Qdrant
  • Learn the benefits of optimized vector search
  • Understand the cost and benefit of open-source infrastructure