L-16 Agentic RAG Explained with Agno Framework in Hindi

Learn how to build *smarter AI with Agentic RAG**! In this video, I break down what **Agentic RAG* is, how it differs from traditional *RAG (Retrieval-Augmented Generation)**, and why combining **Agentic AI with RAG* makes your AI more powerful and intelligent.

📌 *Resources & Links:*
GitHub: https://github.com/AarohiSingla/Agent...
🔗 Agno Framework: https://docs.agno.com/introduction
📧 Email: [email protected]
📌 *What We’ll Cover:*
✅ What RAG is and why it’s important
✅ What Agentic AI is and how it plans, reasons, and uses tools
✅ How Agentic RAG combines planning, reasoning, and tools with RAG
✅ How to implement Agentic RAG using the *Agno Framework*
✅ Real-world examples with **knowledge bases & vector databases**:
• TextKnowledgeBase
• WebsiteKnowledgeBase
• ArxivKnowledgeBase (fetch latest research papers from arXiv)
• Vector databases like *pgvector* and *Chroma*

By the end of this tutorial, you’ll understand how to *leverage Agentic RAG for smarter AI workflows* and practical applications.

🔔 Don’t forget to *like, comment, and subscribe* for more tutorials on **Agentic AI, RAG, and Agno**!

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