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.