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Agno is a lightweight framework for building multi-modal Agents. This video covers the fundamental concepts and practical implementations of Agno, including the creation and utilization of agents and multi-agent teams. A step-by-step guide to basic agents, agents with tools, agents with knowledge bases, and the Agent Playground is demonstrated for a hands-on experience. This tutorial also tackles enabling agent observability for monitoring performance. Whether you are new to Agno or looking to refine your skills, this video offers valuable insights and practical examples to help you understand and leverage Agno's capabilities effectively. 00:00 Introduction to Agno 00:51 Understanding Agents 02:31 Exploring Agno's Website 04:45 What are Agents ? 08:29 Crate the First Agent 12:27 Running the Basic Agent 20:10 Enhancing Agents with Tools 23:49 Implementing Knowledge-Based Agents 28:19 Installing and Running Lance DB 28:37 Handling OpenAI Embedder Issues 29:21 Creating and Querying the Knowledge Base 32:52 Using Multiple Agents 33:48 Setting Up Agent Teams 39:29 Running the Playground Locally 48:07 Monitoring and Tracking Agents 56:04 Conclusion and Final Thoughts Links ⛓️💥 https://docs.agno.com/introduction https://github.com/sudarshan-koirala/... ------------------------------------------------------------------------------------------ ☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics ✌️Patreon: / datasciencebasics ------------------------------------------------------------------------------------------ 🤝 Connect with me: 📺 Youtube: / @datasciencebasics 👔 LinkedIn: / sudarshan-koirala 🐦 Twitter: / mesudarshan 🔉Medium: / sudarshan-koirala 💼 Consulting: https://topmate.io/sudarshan_koirala #agno #agenticai #llm #datasciencebasics