Advanced RAG with Vector Databases and Retrievers

Looking to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases like FAISS and ChromaDB. You’ll gain the skills to design and build scalable, high-performance RAG applications that drive smarter search and response capabilities. Learn how to differentiate retrieval patterns, implement similarity search using FAISS, and integrate LangChain with modern UI frameworks like Gradio.

In practical labs and guided projects, you’ll build an end-to-end AI application that retrieves, summarizes, and answers questions in real time. From multi-query and parent document retrievers to semantic vector search and evaluation, this course equips you to solve real-world problems with AI-powered solutions. Whether you’re improving internal search engines, chatbot accuracy, or content recommendation systems, you’ll leave with the tools to build AI that understands context’and delivers results.