Skip to main content

Module 2 - Document Processing

Overview​

Document processing is the foundation of any RAG system. This module covers how to load, parse, and chunk documents from various sources. You'll learn about different splitting strategies and how to handle complex file types.

Learning Objectives​

By the end of this module, you will be able to:

  • Load documents from PDFs, Word, HTML, and other sources
  • Understand and implement different text splitting strategies
  • Handle complex documents with tables, images, and structured data
  • Choose the right chunking approach for your use case
  • Process documents at scale

Module Content​

1. Document Loaders​

  • LangChain document loaders
  • LlamaIndex readers
  • Loading from PDFs, Word, HTML, databases

2. Text Splitting Strategies​

  • Chunk size and overlap
  • Recursive character splitting
  • Semantic splitting
  • Sentence-based splitting

3. Handling Different File Types​

  • PDF extraction challenges
  • OCR for scanned documents
  • Tables and structured data
  • Images in documents
  1. Document Loaders - Loading from various sources
  2. Text Splitting - Chunking strategies
  3. File Types - Handling complex documents
  4. Quiz - Module 2 - 30 questions

Master the art of document processing!