Build Conversational AI with LangChain, Gemini, and Faiss

Are you looking to create intelligent applications that can understand and respond to user queries? This course introduces you to the exciting world of conversational AI, focusing on building robust question-answering tools. By completing this course, you will gain the practical skills to design, develop, and deploy your own AI-powered conversational agents. You'll learn how to integrate large language models with external knowledge sources to create highly accurate and context-aware systems. What you'll learn: * Understand the core concepts of LangChain for orchestrating AI workflows * Integrate the Gemini model to power your conversational AI applications * Implement efficient vector search using Faiss for retrieval-augmented generation * Apply fundamental prompt engineering techniques to guide AI responses * Construct a complete conversational question-answering system from scratch * Manage conversational memory and state for coherent interactions * Practice building and testing your AI agent with practical exercises This course progresses from fundamental concepts and terminology to hands-on development, guiding you through each step of building a functional conversational AI tool. You will begin by exploring LangChain's architecture, then move on to connecting with the Gemini model, and finally integrate Faiss for data retrieval. This course is designed for absolute beginners with no prior experience in AI or machine learning. All you need is a basic understanding of programming concepts. Start your journey into building powerful conversational AI today.