This tutorial demonstrates how to build Content Intelligence, an advanced content generation agent using LangGraph. The agent is designed to transform input text into platform-optimized content across multiple social media channels, incorporating research-driven insights and maintaining brand consistency throughout the process.
Content creation for multiple platforms is a complex, time-consuming task that requires understanding platform-specific requirements, audience preferences, and maintaining consistent messaging. Content Intelligence automates this process by: - Analyzing and summarizing input content - Conducting research to enhance content quality - Generating platform-specific content while maintaining brand voice - Managing complex workflows through a structured graph approach
About this tutorial
This hands-on Jupyter notebook is part of GenAI Agents, a free open-source repository by Nir Diamant covering ai agents techniques with runnable code examples and detailed explanations.
RAG Made Simple
Nir Diamant's complete visual guide to Retrieval-Augmented Generation. Written for engineers building systems that retrieve and ground responses on real data.
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