LangChain is an open-source framework for connecting large language models to external data and workflows. This guide explains its modular chains and components.
This guide explains how to build an AI-powered application with LangChain by connecting large language models to external data sources using Python and Claude.
LangGraph enables developers to build stateful multi-agent AI applications using nodes and edges. This guide explains how memory and cycles manage complex tasks.
This guide compares LangChain and LangGraph, explaining how the latter uses cyclic graphs to enable error correction and complex decision-making in AI agents.
Learn to build AI-driven projects using the Anthropic Claude API. This guide covers setup, Python integration, and leveraging Sonnet 4 for automated reasoning.