Скачать или смотреть Build a Powerful AI News Agent in Python | LangChain + LangGraph Tutorial | RAG System from Scratch

🚀 Learn to build your own AI-powered news summarization agent from scratch!
In this comprehensive tutorial, you'll discover how to create an intelligent news analysis system using Python, LangChain, and LangGraph that automatically fetches, processes, and summarizes the latest current affairs from major news sources.

🔥 What You'll Build:
✅ A complete RAG (Retrieval Augmented Generation) system
✅ Automated web scraping from multiple news sources
✅ Vector database storage with semantic search capabilities
✅ AI-powered news summarization using OpenAI GPT-4o-mini
✅ Workflow orchestration with LangGraph state management
🛠️ Technologies Covered:

Python programming
LangChain framework for LLM applications
LangGraph for workflow orchestration
OpenAI API integration
Chroma vector database
Web scraping with WebBaseLoader
Document processing and text splitting
Embedding generation and similarity search

📚 What You'll Learn:

How to set up a complete RAG pipeline
Web scraping techniques for news aggregation
Vector database implementation with Chroma
Creating intelligent document retrieval systems
Building conversational AI workflows with LangGraph
State management in LLM applications
Best practices for prompt engineering

🎯 Perfect For:

Python developers interested in AI/ML
Anyone wanting to learn LangChain and LangGraph
Developers building RAG applications
AI enthusiasts looking to create practical projects

📋 Prerequisites:

Basic Python knowledge
OpenAI API key
Familiarity with virtual environments (recommended)

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