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LangChain vs LangGraph: Which One Should You Use?
Article

LangChain vs LangGraph: Which One Should You Use?

LangChain handles linear pipelines. LangGraph handles everything that needs loops, branching, or persistent state. Here's the exact decision framework — with code showing when each breaks and why.

#LangChain#LangGraph#comparison
7 min read
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Structured Output from AI APIs: JSON Every Time
Article

Structured Output from AI APIs: JSON Every Time

How to reliably get JSON, typed objects, and formatted data from ChatGPT, Claude, and Gemini APIs. Covers response_format, tool use, Pydantic, and every technique that actually works in production.

#structured output#JSON#OpenAI
8 min read
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LangGraph: Build Stateful AI Agents That Actually Work
Article

LangGraph: Build Stateful AI Agents That Actually Work

LangGraph extends LangChain with graph-based agent architecture — nodes, edges, state, and cycles. Learn how to build reliable multi-step AI agents with real Python code examples.

#LangGraph#agents#Python
8 min read
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LangChain Explained: Build LLM Apps Without Boilerplate
Article

LangChain Explained: Build LLM Apps Without Boilerplate

LangChain is the most widely used framework for building applications on top of LLMs. This guide covers chains, prompt templates, output parsers, and LCEL — with real Python code snippets throughout.

#LangChain#Python#LLM
7 min read
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