📅 2025-01-28 — Session: Developed Modular AI Workflow Framework and RAG Mastery Enhancements
🕒 13:40–14:50
🏷️ Labels: Modular Systems, Ai Workflows, Rag Mastery, UI/UX, Flask, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to explore and develop frameworks for modular AI-driven systems and enhance the RAG Mastery prototype’s user interface.
Key Activities:
- Outlined a comprehensive framework for modular knowledge workflows, detailing components for inputs, prompts, outputs, and UI/UX concepts.
- Explored off-the-shelf solutions for building modular AI-driven systems, including workflow automation and prompt orchestration.
- Proposed a unique product opportunity combining modular AI workflows with a drag-and-drop UI.
- Planned enhancements for the RAG Mastery Prototype UI, focusing on UI improvements and backend enhancements.
- Detailed steps for enhancing the UI and tech stack for the RAG Mastery prototype using React and FastAPI.
- Outlined frontend architecture principles for ChatGPT-like applications using React, TypeScript, and Next.js.
- Developed a ‘Box of Context’ system architecture for file uploads, including a Flask backend implementation and debugging strategies for file upload issues.
Achievements:
- Established a clear framework for modular AI workflows and identified potential product opportunities.
- Enhanced the RAG Mastery prototype’s UI and tech stack, improving user experience and system functionality.
- Implemented a Flask backend for the ‘Box of Context’ system, addressing file management and debugging issues.
Pending Tasks:
- Further refine the modular AI workflow framework and explore integration with existing platforms.
- Continue UI enhancements for the RAG Mastery prototype, focusing on responsive design and accessibility improvements.