Agentic RAG with LangGraph - Part 2/13 скачать в хорошем качестве

Agentic RAG with LangGraph - Part 2/13

Learn how to load web documents for RAG pipelines using LangGraph's WebBaseLoader. This tutorial demonstrates fetching and parsing web content from multiple URLs, creating a document corpus for retrieval-augmented generation systems. #LangGraph #RAG #Python #WebScraping #LangChain #DocumentLoading #AI Zen Koan Explanation: The code uses `WebBaseLoader` to fetch web pages, but the raw `page_content` may contain leading/trailing whitespace or empty strings—only after calling `.strip()` does the actual text materialize, as if emerging from nothingness. This mirrors the koan's theme of hidden potential revealed through a simple, transformative act (like `strip()`), where meaning is uncovered by removing the superficial. Source: https://docs.langchain.com/oss/python...