Mastering Data Extraction with LangExtract and LLMs
Welcome to the definitive guide for LangExtract! This collection of chapters will take you from the foundational concepts of data extraction with Large Language Models to advanced deployment and optimization techniques. Prepare to master LangExtract for diverse real-world applications and enhance your document processing workflows.
Chapters
- 01 Getting Started – Installation and First Run 9m
- 02 Connecting to LLM Providers 8m
- 03 Defining Your Extraction Task and Schema 11m
- 04 Basic Extraction and Understanding Results 12m
- 05 Advanced Schema Design and Data Types 14m
- 06 Handling Different Document Types – Text, HTML, PDF 15m
- 07 The LangExtract API: Core Functions and Parameters 12m
- 08 Interactive Visualization and Debugging 12m
- 09 Tackling Long Documents with Chunking Strategies 12m
- 10 Multi-Pass Extraction and Refinement 13m
- 11 Error Handling, Robustness, and Retries 15m
- 12 Performance Tuning and Optimization 12m
- 13 Custom LLM Providers and Integrations 14m
- 14 Project: Extracting Key Information from Legal Contracts 11m
- 15 Project: Summarizing and Structuring Financial Reports 17m
- 16 Project: Data Extraction for E-commerce Product Listings 12m
- 17 Best Practices for Prompt Engineering with LangExtract 12m
- 18 Comparison with Alternative NLP Extraction Methods 15m
- 19 Common Pitfalls and How to Avoid Them 11m
- 20 Deploying LangExtract for Production 15m