Databricks RAG LLM – MVP Project (Apprenticeship EPA)
Databricks RAG LLM – MVP Project
I'm excited to share my capstone project for the AI Data Specialist Level 7 higher apprenticeship, which I have successfully completed and passed! 🎉
This project demonstrates the practical implementation of a Retrieval-Augmented Generation (RAG) system using Large Language Models on the Databricks platform, representing the culmination of my apprenticeship journey in AI and data science.
Project Overview
The project focused on developing an end-to-end RAG solution that combines the power of:
- Large Language Models (LLMs) for natural language generation
- Vector databases for efficient document retrieval
- Databricks platform for scalable data processing and ML workflows
- Enterprise-grade architecture suitable for production deployment
Key Technical Components
🔧 Technology Stack
- Databricks Platform: Unified analytics platform for data engineering and ML
- Large Language Models: Advanced NLP models for text generation
- Vector Embeddings: Semantic search and document retrieval
- RAG Architecture: Retrieval-Augmented Generation framework
- MLflow: Model lifecycle management and experiment tracking
🎯 Project Objectives
- Design and implement a scalable RAG system
- Demonstrate practical application of LLMs in enterprise contexts
- Showcase data engineering and ML engineering best practices
- Deliver a production-ready MVP with comprehensive documentation
📊 Key Achievements
- Successfully deployed a working RAG system on Databricks
- Implemented efficient vector search and retrieval mechanisms
- Achieved high-quality response generation through prompt engineering
- Demonstrated scalability and performance optimization techniques
Technical Implementation
The project showcases advanced capabilities in:
- Data Engineering: ETL pipelines for document processing and embedding generation
- Machine Learning: Fine-tuning and optimization of language models
- Vector Search: Implementation of semantic similarity search
- System Architecture: Design of scalable, maintainable ML systems
- Performance Optimization: Efficiency improvements for production deployment
Professional Impact
This project represents a significant milestone in my journey as an AI Data Specialist, demonstrating:
- Practical application of cutting-edge AI technologies
- Enterprise-level system design and implementation
- End-to-end project delivery from conception to deployment
- Technical documentation and knowledge transfer capabilities
Complete Project Report
For comprehensive technical details, methodology, implementation specifics, and results analysis, please view the complete project report below:
Complete technical report detailing the implementation, methodology, and results of the Databricks RAG LLM MVP project for AI Data Specialist Level 7 apprenticeship
Looking Forward
This project has solidified my expertise in:
- Advanced AI/ML technologies and their practical applications
- Enterprise-scale system design and implementation
- Production-ready ML solution development and deployment
- Technical leadership in AI project delivery
The successful completion of this apprenticeship project marks an important step in my career as an AI Data Specialist, and I'm excited to apply these advanced skills to future innovative projects and challenges.
Status: ✅ Completed and Passed
Apprenticeship: AI Data Specialist Level 7
Institution: Higher Apprenticeship Program