RAG Series (2): Building Your First RAG Pipeline with LangChain

From 100 Lines to a Production Pipeline In the last article, we built a minimal RAG system in 100 lines of pure Python. It worked. It demonstrated the core idea. But if you tried to productionize that code, you'd quickly run into a wall. Loading a PDF? You need PyPDF2 or pdfplumber , and you'll discover that tables, headers, and footers are a nightmare to parse cleanly. Splitting text? Your naive text.split("\n\n") will cut sentences in half, break code blocks, or create chunks so large they blo