📅 2025-01-27 — Session: Enhanced PDF Processing and Debugging Workflow
🕒 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 workflow by implementing automation, modular design, and robust error handling.
Key Activities:
- Developed a Python script for processing PDF files into text chunks, including functions for text refinement and output file saving.
- Updated the script to automatically name output folders based on PDF file names, improving organization.
- Outlined a modular workflow for document processing using Langchain, incorporating automatic context loading and vector store building.
- Created a structured execution 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.
- Developed a step-by-step debugging process for PDF chunking and fallback processing.
Achievements:
- Successfully implemented automation in PDF processing with improved organization through automatic folder naming.
- Established a modular workflow for efficient document processing.
- Enhanced the RAG app with a clear plan for incremental improvements and robust error handling.
Pending Tasks:
- Further testing and validation of the modular workflow and RAG app improvements.
- Additional debugging to ensure seamless integration and execution of PDF processing and vectorstore initialization.