LangChain - Integrating External Documents and SQL with GPT-4

Learn how to leverage LangChain, a powerful Python library, for integrating Large Language Models (LLMs) like GPT-4 with external data sources in this 31-minute tutorial. Master the fundamentals of connecting different data pipelines including documents and SQL databases to professional LLM service providers. Explore how to chain multiple results using SBERT models and cosine similarity calculations, while understanding vector embedding of sentences for enhanced prompt engineering. Discover the process of utilizing in-context learning with LLMs while respecting token limits, and learn how to iterate this process for optimal results. Gain practical insights into the framework's architecture, understanding how the true AI capabilities reside within the LLM while other components serve as data stream providers and similarity calculators. Perfect for beginners seeking a comprehensive introduction to the LangChain framework and its practical applications in AI development.