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LangChain Structured Output & Parsers

5 posts on langchain structured output & parsers — part of framework tutorials on the n4n AI blog.

5 postsFramework tutorialsAll posts
Framework tutorialsGuide

Structured output in LangChain with Pydantic and n4n.ai

Step-by-step langchain structured output pydantic tutorial: bind typed schemas to LLM calls, validate responses, and handle provider failures in production.

4 min read
Framework tutorialsTutorial

LangChain with_structured_output explained step by step

Hands-on langchain with_structured_output tutorial: define Pydantic schemas, bind to chat models, parse LLM responses, and avoid common pitfalls.

3 min read
Framework tutorialsTutorial

LangChain function calling for data extraction

Hands-on langchain function calling structured extraction tutorial: use Pydantic and with_structured_output to parse text into typed objects.

2 min read
Framework tutorialsHow-to

Force JSON mode in LangChain using n4n.ai models

Learn to force JSON mode in LangChain via the n4n.ai OpenAI-compatible gateway, with runnable code for structured output and validation across 240+ models.

3 min read
Framework tutorialsTutorial

Build a LangChain extraction chain with Pydantic v2

Hands-on langchain extraction chain pydantic v2 tutorial: build a structured output pipeline with Pydantic v2 and LangChain, with runnable code.

2 min read

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