Systematically Improve Your RAG Systems in 4 Weeks¶
Join our intensive course starting February 2024 to systematically improve your Retrieval-Augmented Generation (RAG) systems.
Enroll now on Maven (starts Feb 4)
Course Overview¶
Build strong fundamentals in building searching systems and improve your RAG systems. I've refined these over 8 years of machine learning engineering and AI consulting. This course will equip you with the skills to:
- Build robust processes for identifying system bottlenecks
- Significantly enhance your probabilistic systems
- Implement advanced RAG techniques for real-world applications
Don't miss this opportunity to transform your RAG capabilities and stay ahead in the rapidly evolving field of applied AI.
Week 1: RAG System Foundations¶
- Create robust evaluation pipelines, develop scalable datasets, and apply the RAG System Inference Flywheel concept
- Recognize and mitigate intervention bias and absence blindness in your RAG systems
- Implement fast, iterative improvement cycles using precision and recall metrics
- Distinguish between leading and lagging metrics to set actionable goals
- Master techniques for continuous improvement and optimization of RAG foundations
Week 2: Query Processing and Intent Analysis¶
- Implement classification systems for query segmentation and conduct thorough bottleneck analysis
- Apply data-driven approaches to detect concept drift and adapt systems dynamically
- Understand inventory vs capability segments and develop strategies for unsupervised topic discovery
- Create comprehensive dashboards for visualizing query patterns and system performance
- Learn advanced techniques for enhancing query understanding and intent analysis
Week 3: Multi-Index Search and Intelligent Routing¶
- Design and implement search strategies for diverse content types (images, documents, tables, text-to-SQL)
- Develop metrics to measure and improve search quality across multiple indices
- Build intelligent routers and implement sophisticated query understanding techniques
- Construct and optimize multi-hop agent systems utilizing multiple search indices
- Evaluate and balance trade-offs between search architectures for latency, cost, and accuracy
Week 4: RAG Product Design and User Experience¶
- Design RAG products that effectively collect user feedback and implement streaming strategies
- Create intuitive UI components for citations and user interaction, enhancing overall UX
- Develop strategies for handling negative examples and continuously improving performance
- Implement validators and monologue techniques to significantly enhance response quality
- Align product features with business objectives while maximizing user satisfaction and engagement
What You'll Learn¶
After completing this comprehensive RAG course, you'll be equipped to:
- Implement rapid, data-driven iteration cycles using synthetic evaluations and user feedback to identify and address system bottlenecks
- Design intuitive UIs that simultaneously enhance and measure customer satisfaction, optimizing the balance between user experience and data collection
- Develop intelligent query routing and search architectures that maximize performance within resource constraints
- Create compelling, data-backed arguments for system improvements and resource allocation
- Effectively communicate RAG system enhancements and their impact to both technical and non-technical stakeholders
Our Guarantee¶
If you don't feel better about the progress you're making in 4 weeks, you'll get your money back no questions asked.