Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

The Ultimate RAG Bootcamp is designed for developers, AI engineers, and software architects who want to transition from basic LLM prompts to production-ready Retrieval-Augmented Generation (RAG) systems. Guided by KRISHAI Technologies, this comprehensive course covers the entire spectrum of RAG architectures. Students begin by establishing foundational knowledge with traditional RAG pipelines, working with vector databases like FAISS, Pinecone, and Weaviate. As the curriculum progresses, learners dive deep into advanced retrieval techniques, including hybrid search, multimodal RAG processing both text and imagery, and persistent memory implementation. A key highlight of this bootcamp is its focus on modern agentic workflows. By leveraging LangGraph, developers learn to design complex, multi-agent autonomous systems that can collaborate, reason, and self-correct. To ensure these systems are enterprise-ready, the course incorporates LangSmith for rigorous tracking, debugging, evaluation, and optimization. Whether you aim to build domain-specific customer support chatbots or advanced cognitive search engines, this bootcamp provides the practical skills needed to deploy resilient, state-of-the-art AI agents in real-world environments.