Learn how to build AI agents with LangChain in 2026 – from chatbots and document Q&A to tools, guardrails, testing, and debugging in PyCharm.

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A comprehensive guide to building AI agents with LangChain in Python, covering core concepts like agents, tools, middleware, and both static and dynamic models. Includes practical examples for document Q&A systems and content generation tools using FAISS vector stores and OpenAI. Also covers advanced topics such as MCP adapter integration, guardrails for content filtering, unit and integration testing with GenericFakeChatModel and AgentEvals, and debugging LangChain agents using PyCharm's AI Agents Debugger plugin.

LangChain Python Tutorial: 2026’s Complete Guide