Build AI Chatbots with RAG and LangChain

Are you ready to create AI chatbots that provide accurate, context-aware responses by leveraging external data? This course introduces you to the power of Generative AI combined with Retrieval Augmented Generation (RAG). By the end of this course, you will be equipped to design, build, and deploy your own intelligent AI chatbots capable of interacting with specific knowledge bases, moving beyond the limitations of pre-trained models. What you'll learn: * Understand the foundational concepts of Generative AI and Retrieval Augmented Generation (RAG). * Learn to set up and utilize the LangChain framework for orchestrating AI applications. * Implement vector databases to efficiently store and retrieve relevant information for RAG pipelines. * Apply effective prompt engineering techniques to guide AI models for specific tasks within a RAG system. * Develop functional AI chatbots that can answer questions based on custom data sources. * Practice evaluating and refining chatbot responses for accuracy and relevance. The course begins with essential terminology and theoretical foundations, then guides you through practical steps to implement RAG using LangChain. You will progress from understanding core components to assembling and testing your own chatbot applications. This course is designed for complete beginners with no prior experience in Generative AI or LangChain. It assumes no advanced technical background, making complex concepts accessible and easy to understand. Begin your journey into building intelligent, data-driven AI chatbots today.