Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development-Api

Overview

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This system is designed to enhance processes from client requirement gathering to the final product deployment, utilizing a core component — the Llama3 RAG-Based System — for improved response accuracy and generation through advanced Natural Language Processing (NLP) and Information Retrieval capabilities. this repository have the apis and Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development django based rest apis.

Key Components

• Django Based Web Application and Rest Apis: For user experience Django base Web Application is develop with two tier django based web application and rest apis
• Client Requirement Gathering: Ensures a thorough understanding of client needs, providing a foundation for the project.
• Llama3 RAG-Based System: Enhances response generation accuracy and relevance by combining Llama3’s NLP capabilities with a Retrieval-Augmented Generation (RAG) system.
• Business Analysis Agent: Translates business requirements into actionable insights for technical implementation.
• Software Architect Agent: Designs a scalable and robust software architecture.
• Software Developer Agent: Implements Django-based operations including CRUD functionalities and static HTML code.
• Django Web App Development: Provides a web application with user authentication and a project code generation dashboard.
• Testing Agent: Performs rigorous software testing to ensure that the final product meets all specified requirements.
• QA Agent: Manages the deployment and multi-platform configuration of the application.

Features

• Client Requirement Gathering: Detailed client interviews and surveys, followed by comprehensive documentation of functional and non-functional requirements.
• Llama3 RAG System: Integrates information retrieval to boost the accuracy of the Llama3 NLP model, improving overall system response.
• Django Web App Development: A user-friendly web application with robust authentication and a code generation dashboard.
• Testing & QA: Continuous testing and quality assurance to ensure the final product’s reliability and functionality across different platforms.

System Architecture

1. Client Requirement Gathering:

   • Conducts client interviews and surveys to capture detailed requirements.
   • Documents functional and non-functional specifications.

2. Llama3 RAG-Based System:

   • Enhances natural language processing using Llama3 integrated with a RAG system.
   • Provides accurate, context-aware responses.

3. Business Analysis Agent:

   • Analyzes business workflows and creates detailed requirement documents.

4. Software Architect Agent:

   • Designs the software’s architecture for performance and scalability.

5. Software Developer Agent:

   • Implements Django CRUD operations and static HTML for front-end functionality.

6. Testing Agent:

   • Conducts unit, integration, and system testing to ensure software quality.

7. QA Agent:

   • Oversees the deployment and configuration of the system across various platforms and programming languages.

Challenges Addressed

• Improved CSS Handling: The system addresses limitations in CSS handling by training the models with diverse project scenarios.
• Hardware Costs: High-performance hardware is required for the Llama3 RAG system, including GPUs, RAM, and cooling solutions.

Hardware Requirements

• Compute Requirements:

  • GPUs: 8 GPUs recommended (NVIDIA A100/V100).
  • RAM: 256 GB recommended.
  • Storage: 4 TB NVMe SSD.

• Total Hardware Cost: Approximately $124,000, covering GPUs, RAM, storage, networking equipment, cooling solutions, and power supply.

Deployment & Configuration

• Deployment Phase:

  • Overseen by the QA Agent for smooth transition to production environments.

• Configuration Phase:

  • Ensures compatibility with multiple platforms and environments.

Demostration

bandicam.2024-07-30.17-51-10-659.mp4

Conclusion

The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development is a robust solution for automating the entire software development process. By leveraging cutting-edge AI technologies and specialized agents, this system ensures that projects are completed efficiently and to a high standard of quality. It addresses real-world development challenges and provides a cost-effective solution for implementing AI-enhanced software architectures.