Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

**Unlock the Power of Retrieval-Augmented Generation (RAG) – From Traditional to Advanced Agentic AI Systems** In today’s AI-driven world, *Retrieval-Augmented Generation (RAG)* is one of the most impactful and in-demand techniques, powering everything from intelligent chatbots and personal assistants to automated research agents and enterprise AI systems. **The Ultimate RAG Bootcamp** is your complete, step-by-step guide to mastering RAG using the latest and most powerful tools — LangChain, LangGraph, and LangSmith. Whether you’re an AI beginner or an experienced developer, this course takes you from the fundamentals of RAG pipelines all the way to advanced Agentic RAG architectures used in production by leading companies. RAG is more than just an AI trend — it’s the foundation of intelligent, context-aware applications. By the end of this bootcamp, you’ll have hands-on, production-ready skills to build and deploy cutting-edge RAG pipelines with LangChain, LangGraph, and LangSmith. Join **The Ultimate RAG Bootcamp** today — and start building AI systems that truly understand, reason, and deliver results.

What you'll learn:

• Build traditional RAG pipelines for accurate and efficient information retrieval.
• Implement advanced retrieval methods like hybrid search, multimodal RAG, and persistent memory.
• Design multi-agent and autonomous RAG systems using LangGraph for collaborative AI reasoning.
• Use LangSmith for tracking, debugging, and optimizing RAG workflows in real-world projects.
• Integrate LangSmith for tracking, debugging, and optimizing RAG performance.
• Use vector databases like FAISS, Pinecone, and Weaviate efficiently.
• Build domain-specific knowledge chatbots with hybrid search.
• Develop multimodal AI assistants that process both text and images.