What is LangChain?
Juggling multiple LLMs, data sources, and workflows can quickly turn an AI feature into a maintenance burden. This video breaks down how LangChain approaches that problem as an open-source orchestration framework for building LLM-powered applications in Python or JavaScript. Key takeaways Understand LangChain’s core abstractions—LLM modules, prompt templates, and chains—and how they reduce manual glue code. See how “indexes” like document loaders, text splitters, and vector databases support retrieval from external data (e.g., files, web content, databases). Learn how LangChain adds conversation memory utilities, from full history to summarized context. Get an overview of agents, including how they select tools and steps to execute actions within a workflow.