Скачать или смотреть Master LangChain #21 | Website Loaders | Web Scraping for RAG

#langchain #aidevelopment #generativeai #machinelearning #llm #python #openai #azureopenai #langgraph #artificialintelligence #chatgpt #documentloaders #websiteloaders

In this tutorial, you’ll learn everything about *Website Document Loaders in LangChain* 🌐—the essential tools that convert websites into *AI-readable knowledge* for modern *RAG (Retrieval-Augmented Generation)* systems.

We break down how LangChain website loaders *fetch, clean, and structure web content* into standardized `Document` objects that LLMs can understand and reason over.

🔍 What you’ll learn in this video:

✅ What website document loaders are and why they matter
✅ How raw HTML is transformed into clean, structured text
✅ Different types of website loaders in LangChain
 • Static HTML loaders
 • Crawlers & sitemap-based loaders
 • JavaScript & browser-based loaders
 • API & AI-powered extractors
✅ How website loaders fit into a *RAG pipeline*
✅ Using *Azure OpenAI embeddings* with website data
✅ Key challenges like JavaScript sites, bot blocking, and large crawls
✅ Best practices for accurate and scalable web ingestion

By the end of this video, you’ll clearly understand *which website loader to choose**, how it impacts RAG accuracy, and how to build **production-ready AI search and chatbot systems* using LangChain.

📌 Perfect for:
• LangChain beginners
• RAG system builders
• AI search & chatbot developers
• Generative AI engineers using Azure OpenAI

🔔 Subscribe for more **LangChain, RAG, Azure OpenAI, and Generative AI tutorials**.