5-Getting Started With Agentic RAG With Detailed Implementation Using LangGraph
Krish Naik
@krishnaik06About
I am the Founder of KrishAI Technologies Private Limited and my experience is pioneering in machine learning, deep learning, and computer vision,an educator, and a mentor, with over 10 years' experience in the industry. This is my YouTube channel where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30 tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.Please subscribe and support the channel. As i love new technology, all these videos are free and I promise to make more interesting content as we go ahead. For any collaboration drop me a mail at [email protected] Please free to drop a mail for Product unboxing, GPU's unboxing and any other collaboration
Latest Posts
Video Description
Code: https://github.com/krishnaik06/RAG-Tutorials Agentic RAG (Retrieval-Augmented Generation) is an advanced AI system architecture where an autonomous agent makes intelligent, dynamic decisions about the retrieval and generation process to answer queries effectively. Unlike traditional RAG systems that follow a fixed "retrieve-then-generate" pipeline, Agentic RAG employs reasoning capabilities to determine: -------------------------------------------------------------------------------------------------------------- Festive offers are till Diwali . On this festive offer we are providing 20% off on all our live courses. USE COUPON CODE AI20. Enrollment link: https://www.krishnaik.in/liveclasses https://www.krishnaik.in/liveclass2/ultimate-rag-bootcamp?id=7 Go ahead and utilize this opportunity. Reach out to Krish Naik's counselling team on 📞 +919111533440 or +91 84848 37781 in case of any queries we are there to help you out.
Essential Agentic RAG Tools
AI-recommended products based on this video



















