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Systematically Improve Your RAG Systems in 4 Weeks

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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

Apply on Maven (starts Feb 4)

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.