Added full content of the Chain-of-Thought Prompting paper by Wei et al. from Google Research. This example file demonstrates how chain-of-thought reasoning improves LLM performance on complex reasoning tasks.
- Add client-side PDF text extraction using unpdf library
- Support text files (.txt, .md, .json, .csv, .py, .js, .ts, etc.)
- Add file preview with character count for PDF/text files
- Add 150k character limit for extracted content
- Highlight Paper to Diagram example with NEW badge
- Fix React hydration error by adding explicit IDs to ResizablePanelGroup
- Remove code duplication by centralizing file utilities in pdf-utils.ts