Critical information is often trapped in data silos—scattered across internal wikis, online drive, and legacy databases. This breaks down the information lifecycle, making it impossible for companies to create real-time and context-aware AI agents.
​Join Dify and Qdrant in this online webinar to learn how to break down these barriers. We will demonstrate how to build an Agentic RAG system intuitively that automatically syncs your scattered files into a high-performance vector database, ready for instant retrieval.
RSVP: Building Scalable Agentic RAG with Dify & Qdrant · Luma
What You’ll Learn
​What is Agentic RAG
Understand what and why you need it in the AI era. Discover how it utilizes iterative reasoning and tool use to solve multi-step problems.
​Building the Foundation Together
How Dify handles the visual orchestration of complex agent workflows, and how Qdrant provides unmatched search speed with production-ready scalability.
​Automated Data Pipelines
Best practices for setting up everything that keep your AI’s knowledge base always up-to-date
​Who is this for?
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AI & Machine Learning Engineers building RAG pipelines.
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​Product Managers looking to integrate “Chat with your Data” features.
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​Enterprise Architects solving internal knowledge management challenges.
​Agenda
​1. Greetings and Introduction
- Companions for Building Agentic RAG
Learn how Dify and Qdrant works together for a reliable and stable solution.
​3. Live Demo
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​The Legal Research Agent: Featuring multi-collection routing, external search fallbacks, and Google Drive → Qdrant auto-ingest for real-time vectorization.
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​The Visual Agent: A first look at Image Anomaly Detection workflows using Qdrant’s latest features.
​4. Q&A
Open floor for questions and preview of coming events or features.
Sign up here: Building Scalable Agentic RAG with Dify & Qdrant · Luma