Topic
LangChain Structured Output & Parsers
12 posts on langchain structured output & parsers — part of framework tutorials on the n4n AI blog.
Type-safe LLM responses in LangChain with Pydantic
Build type-safe LLM pipelines with LangChain and Pydantic — schemas, parsers, validation, streaming, and the gotchas that bite in production.
Structured output on Claude 3.5 Sonnet via LangChain
A hands-on tutorial for getting structured JSON output from Claude 3.5 Sonnet using LangChain's Pydantic parsers and tool calling, with runnable code at every step.
Stream structured output in LangChain with n4n.ai
Learn to stream structured output in LangChain with Pydantic models and JSON parsers, including partial parsing, validation, and production fallback patterns.
Retry failed LangChain parses with RetryOutputParser
Learn to wrap LangChain parsers with RetryOutputParser so malformed LLM output gets corrected automatically — complete with Pydantic models, prompt templates, and verification steps.
LangChain PydanticOutputParser: a complete guide
A practical guide to LangChain's PydanticOutputParser with code examples, common pitfalls, and production patterns for reliable structured LLM output.
LangChain output parsers: Pydantic vs JSON vs XML
Compare LangChain output parsers — Pydantic, JSON, and XML — across validation, ergonomics, streaming, and failure modes to pick the right one for your LLM pipeline.
Fix malformed JSON in LangChain with OutputFixingParser
Learn to fix malformed JSON from LLMs using LangChain's OutputFixingParser with practical code examples and production patterns.
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.
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.
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.
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.
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.
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