Explore the process of building a question and answer system using LangChain and OpenAI in this 20-minute tutorial video. Learn how to leverage LangChain's capabilities to unify and standardize the developer experience with large language models (LLMs) like GPT-4, Alpaca, and Llama. Discover techniques for incorporating text embeddings, vector stores, and databases such as Chroma, and chaining them for downstream applications through agents. Follow along as the instructor demonstrates how to train a Q&A agent using custom text data. Gain insights into LLMs, embeddings, and practical applications of AI systems. Access additional resources, including related tutorials in the LangChain/LLM series, code examples on GitHub, and links to relevant documentation and visualization tools.