Advanced RAG Chunking - Contextual and Structural Chunking with LangChain and Ollama

Learn to implement advanced RAG chunking techniques that preserve document structure and context using LangChain and Ollama in this 14-minute tutorial. Discover why simple character-based splitting destroys RAG performance by severing tables, breaking sentences, and creating contextless "orphan chunks." Move beyond RecursiveCharacterTextSplitter by implementing a sophisticated two-pass strategy that combines Markdown Header Splitting with LLM-based Contextual Enrichment. Build a chunking pipeline that respects document structure while using a local LLM to inject global context into every chunk. Explore the chunk dataclass and metadata structure, examine the resulting enriched chunks, and understand the trade-offs including token inflation considerations. Master these advanced techniques to significantly improve your RAG system's performance while maintaining complete local control over your data processing pipeline.