Mastering RAG Programming with Ruby

Description

Part 1: Fundamentals of Ruby

1. Introduction to Ruby
   • Ruby basics for beginners or refresher for intermediate programmers.
   • Setting up Ruby environment.
2. Ruby Libraries for RAG
   • Introduction to libraries like Langchain.rb, Ruby-OpenAI, etc.
   • Installation and basic setup.

Part 2: Understanding RAG

3. What is RAG?
   • Detailed explanation of Retrieval Augmented Generation.
   • Use cases and benefits in real-world scenarios.
4. Components of a RAG System
   • Retrieval mechanisms, language models, and how they interact.

Part 3: Implementing RAG with Ruby

5. Building Your First RAG Application
   • Step-by-step guide to creating a simple RAG system using Ruby.
   • Basic integration with a database using ActiveRecord for data storage.
6. Vector Databases and Embeddings
   • How to use vector databases like PostgreSQL with pgvector in Ruby.
   • Creating and managing embeddings in Ruby.
7. Advanced RAG Techniques
   • Handling context, prompt engineering, and improving accuracy.
   • Implementing caching and efficiency techniques.
8. Integrating with External APIs
   • Connecting Ruby applications to AI models via APIs like OpenAI.
   • Managing API keys and rate limits.
9. Testing and Debugging RAG Applications
   • Unit testing strategies for RAG components in Ruby.
   • Debugging common issues in RAG systems.

Part 4: Real-World Applications

10. Case Studies
    • Examples of RAG applications in various domains like customer service, content creation, etc.
11. Performance Optimization
    • Tips on scaling RAG applications.
    • Monitoring and maintaining system health.

Part 5: Future Directions

12. The Future of RAG and Ruby
    • Emerging trends in AI and how Ruby might evolve to accommodate them.
    • Community involvement and contributions to Ruby’s AI ecosystem.