📅 2025-05-20 — Session: Comprehensive Review of RAG System Infrastructure
🕒 05:30–05:50
🏷️ Labels: RAG, Architecture, Backend, Modular, Integration
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to provide a comprehensive review of the architecture and components of an Enterprise-Grade Retrieval-Augmented Generation (RAG) system.
Key Activities
- Overview of RAG System Infrastructure: Detailed the components and capabilities, focusing on cloud storage, document indexing, and external web retrieval, with design implications and improvement suggestions.
- Data Access and Storage Abstraction Layer: Provided a breakdown of the final modules, discussing functionalities and architectural implications.
- Backend Layers Review: Analyzed
redis_conn.pyandminio_conn.py, critiquing their functionalities and suggesting improvements. - Codebase Analysis: Conducted a structured synthesis of the RAG platform codebase, examining architecture, core components, and strategic capabilities.
- RAG Engine Architecture Analysis: Reviewed the modular architecture, multi-modal capabilities, and integration points of the RAG engine.
Achievements
- Completed a thorough analysis of the RAG system’s infrastructure and architecture.
- Identified gaps and provided suggestions for improvements across various components.
Pending Tasks
- Implement suggested improvements to the backend layers and RAG engine architecture.
- Further exploration of integration points for external systems.