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LangChain

Pipelines for LLM applications: prompts, tools, memory.

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This course has 3 lessons. Start with the first one and use the next / previous links at the bottom of each lesson — the sidebar keeps the whole course in order.

Lessons

  1. Prompt templates and chainsBuild prompts that stay clean at scale, then compose them into chains with the pipe operator instead of nested function calls.
  2. Tools and agentsExpose Python functions to a model, let it choose between them, and keep the loop bounded and safe.
  3. Retrieval-augmented generationChunk and index documents, retrieve the right passages, and answer with citations while allowing an honest not-found reply.

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Last refreshed 2026-09-17.