Skip to content

🔍 Lesson 3-2: Advanced RAG Pipelines

Coming Soon

This lesson is currently under development. We're working on comprehensive content covering:

- Multi-tenant vector stores
- Secure chunking and access control
- Scaling strategies for large datasets
- Hybrid retrieval approaches
- Advanced embedding techniques

**Want to contribute?** Check out our [GitHub repository](https://github.com/karthikkpro/ai-agent-engineer-course) or join our discussions!

Learning Objectives

  • Design scalable multi-tenant RAG systems
  • Implement secure chunking and access control
  • Optimize retrieval performance for large datasets
  • Master hybrid retrieval and advanced embedding techniques

Key Topics

  • Multi-Tenant Stores: Isolation and resource management
  • Secure Chunking: Access control and data protection
  • Scaling Strategies: Performance optimization for large datasets
  • Hybrid Retrieval: Combining multiple retrieval methods
  • Advanced Embeddings: Fine-tuning and optimization

This lesson will be available soon. Stay tuned for updates!