📅 2025-02-11 — Session: Modularization of RAG Codebase
🕒 05:20–07:21
🏷️ Labels: Modularization, RAG, Codebase, Python, File Organization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to modularize the RAG (Retrieval-Augmented Generation) codebase to improve scalability and maintainability.
Key Activities
- Analyzed codebase fragmentation and proposed refactoring strategies.
- Created a clean, modular RAG pipeline by organizing code into logical modules.
- Initialized necessary Python files in the
v2/directory for AI processing, data indexing, and more. - Outlined a modular organization plan for the
v2/directory, detailing specific categories and commands for file creation. - Migrated remaining components in the RAG codebase, including specific functions and classes.
- Finalized steps for codebase modularization, detailing the functions and classes that need to be moved to specific files.
Achievements
- Successfully structured the codebase into the
v2/directory, enhancing organization and accessibility. - Completed migration of components, ensuring all functions and classes are in their designated locations.
Pending Tasks
- Conduct a thorough review of the new structure to ensure all components are functioning correctly.
- Optimize any identified bottlenecks in the new modular setup.