📅 2025-01-27 — Session: Enhanced PDF Processing and Debugging
🕒 23:00–23:50
🏷️ Labels: Pdf Processing, Automation, Debugging, Python, Modular Design
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the PDF processing pipeline by implementing modular workflows, automatic folder naming, and robust debugging processes.
Key Activities
- Developed a Python script for processing PDF files into overlapping text chunks, with functions for refining text and saving output files.
- Updated the script to automatically name output folders based on the PDF file’s name, improving organization.
- Outlined a modular workflow for PDF and text chunk processing, including context loading and vector store building.
- Created a structured plan for incremental improvements in a RAG app, focusing on modular design and error handling.
- Provided a comprehensive debugging guide for vectorstore initialization and HTML interaction with the
/queryendpoint. - Debugged issues related to PDF chunking and fallback processing, ensuring correct execution of processing functions.
Achievements
- Successfully implemented modular PDF processing workflows.
- Enhanced the organization of output files through automatic folder naming.
- Improved the robustness of the RAG app with a focus on error handling.
Pending Tasks
- Further testing and validation of the PDF processing pipeline.
- Continued improvements on the RAG app’s modular design and error handling capabilities.