Agentic RAG Explained - Build Your Own AI Agent System from scratch! (Step-by-step code)

🤔 Looking for using AI Agents with RAG? In this episode, join Angelina and Mehdi, for a discussion about Agentic RAG. Who's Angelina: VP of AI and data, Co-founder of Transform AI Studio, two-time fast.ai fellows under Jeremy Howard, published author. https://www.linkedin.com/in/MeetAngelina/ Who's Mehdi: Professor of Computer Science, Co-founder and Chief AI Engineer at Transform AI Studio, NSF fellow, published author. https://www.linkedin.com/in/mehdiallahyari/ What You'll Learn: 🔎 System architecture of Agentic RAG 🚀 Components of an Agentic RAG system: LLM, memory, tools 🛠 Implementing Agentic RAG from scratch vs using frameworks like LangChain ✏️ In This Episode: 00:00 Intro 00:56 What's AI Agent 03:02 Basic architecture for Agentic RAG 09:27 LangChain Code 10:12 Implementation without frameworks 23:17 Minimizing dependencies 📝 Course survey: https://maven.com/forms/e48159 🗓️ Course landing page: https://maven.com/angelina-yang/mastering-rag-systems-a-hands-on-guide-to-production-ready-ai Implementation: https://github.com/mallahyari/twosetai/blob/main/13_agentic_rag.ipynb 🦄 Any specific contents you wish to learn from us? Sign up here: https://noteforms.com/forms/twosetai-youtube-content-sqezrz 🧰 Our video editing tool is this one!: https://get.descript.com/nf5cum9nj1m8 🔨 Implementation: coming soon 📬 Don't miss out on the latest updates - Subscribe to our newsletter: https://mlnotes.substack.com/ 📚 If you'd like to learn more about RAG systems, check out our book on the RAG system: https://angelinamagr.gumroad.com/ 🕴️ Our consulting firm: We help companies that don't want to miss the boat of the current wave of AI advancement by integrating these solutions into their business operations and products. https://www.transformaistudio.com/ Stay tuned for more content! 🎥 Thanks you for watching! 🙌