Developed RAG Mastery Project and Flask App

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📅 2025-01-23 — Session: Developed RAG Mastery Project and Flask App

🕒 13:30–15:30
🏷️ Labels: RAG, Flask, RAPTOR, Langchain, Development
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session focused on developing a Retrieval-Augmented Generation (RAG) application, integrating the RAPTOR model, and setting up a minimal Flask application.

Key Activities

  • Implemented a structured approach for mastering and implementing RAG systems, focusing on cost-effective strategies and customizable private app development.
  • Developed a project roadmap for the RAG Mastery project, outlining short-term, mid-term, and long-term objectives.
  • Conducted a rapid prototyping sprint for a minimum viable RAG application using Flask and FastAPI.
  • Addressed common Flask errors such as 404, NameError, and TemplateNotFound.
  • Outlined a project tree structure for a lightweight RAG application.
  • Prioritized tasks for RAG pipeline development and integrated RAPTOR features.
  • Explored modularization of the RAPTOR pipeline and LangChain architecture.

Achievements

  • Completed the setup of a minimal Flask application with endpoints for file uploads and queries.
  • Resolved common errors in Flask applications, ensuring a stable development environment.
  • Established a comprehensive roadmap for the RAG Mastery project, integrating RAPTOR principles.

Pending Tasks

  • Further refinement and scaling of the RAG system, focusing on optimization and modularization.
  • Implementation of unit tests for the modularized RAPTOR pipeline.

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