Basic to Advanced: Retreival-Augmented Generation (RAG)

Multi-modal RAG Stack: A Hands-on Journey Through Vector Stores, LLM Integration, and Advanced Retrieval Methods

Created by: Yash Thakker
a lifelong learner 🙂

What Will I Learn?

• Build three professional-grade chatbots: Website, SQL, and Multimedia PDF
• Master RAG architecture and implementation from fundamentals to advanced techniques
• Run and optimize both open-source and commercial LLMs
• Implement vector databases and embeddings for efficient information retrieval
• Create sophisticated AI applications using LangChain framework
• Deploy advanced techniques like prompt caching and query expansion
• Understand how to deploy on AWS EC2 (Basic Guide)

Requirements

• Basic Python knowledge is Good to have but not mandatory.

Target audience

• Software developers looking to specialize in AI applications
• AI engineers wanting to master RAG implementation
• Backend developers interested in building intelligent chatbots
• Technical professionals seeking hands-on LLM experience
• Software Engineers Data Scientists, AI Engineers, Machine Learning Engineers