Explore a comprehensive 36-minute video featuring a live code review of the Pinecone Vercel starter template and Retrieval Augmented Generation (RAG). Dive deep into building an AI chatbot less prone to hallucination, starting with an explanation of RAG and its importance in Generative AI applications. Follow along as the hosts step through the code, explaining major components, TypeScript benefits, and the implementation of a recursive web crawler. Learn about converting documents to embeddings, vector databases, and practical RAG applications. Gain insights into reading TypeScript signatures, working with OpenAIStream responses, and initializing the Pinecone client. Understand the getContext method, metadata handling, and the intricacies of the Crawler component. Perfect for those learning about Generative AI, building chatbots, or seeking to improve AI accuracy with proprietary data.