2-Week Course

Advanced Retrieval Augmented Generation

Master cutting-edge RAG techniques to build high-performance AI systems with precision retrieval and contextual understanding.

6.0 Hours
2 Weeks
2105 Community
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What You'll Learn

Take your RAG systems to the next level with advanced embedding techniques, vector databases, and neural re-ranking. This comprehensive course covers the full spectrum of modern retrieval methods that power today's most capable AI systems.

Deep dive into embedding models (BERT, Sentence-Transformers), efficient vector search algorithms (FAISS, HNSW), vector database performance optimization, neural re-rankers, and techniques for training custom embedding models tailored to your specific domain.
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Course Schedule

2 Weeks
6.0 Classroom Hours

Week 1 2 sessions

Embedding Models

Monday, April 28 at 5:00 PM - 6:30 PM PDT

Deep dive into embedding models including BERT and Sentence-Transformers. Learn how these models encode semantic meaning and how to select the right embedding model for your specific use case.

1.5h

Vector Search Algorithms

Wednesday, April 30 at 5:00 PM - 6:30 PM PDT

Explore FAISS and Hierarchical Navigable Small Worlds (HNSW) algorithms. Understand the tradeoffs between search speed, memory usage, and retrieval accuracy in these advanced vector search techniques.

1.5h

Week 2 2 sessions

Vector Database Performance

Monday, May 05 at 5:00 PM - 6:30 PM PDT

Compare different vector stores and their performance characteristics. Learn how to optimize your vector database for your specific retrieval needs and scale requirements.

1.5h

Neural Re-ranking & Custom Embeddings

Wednesday, May 07 at 5:00 PM - 6:30 PM PDT

Master neural re-ranking techniques to dramatically improve retrieval precision. Learn how to train custom embedding models on your domain-specific data for optimal performance.

1.5h

All times shown in Pacific Time (PT)

Who Is This Course For

Software engineers, data scientists, and AI practitioners looking to implement advanced retrieval systems for LLMs

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Pay what you can - accessible learning for all

We use a suggested price to prevent abuse, but if you need a larger discount, email us at liz@themultiverse.school. We offer 100% scholarships - no one is turned away for lack of funds.

$ 200

Suggested price • Pay what you can

  • Deep dive into advanced RAG techniques
  • Four 90-minute live sessions
  • Hands-on experience with embedding models
  • Learn vector search algorithms and database optimization
  • Master neural re-ranking techniques
  • Please self-select into this tier- if you need it, use it
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Secure payment via Stripe

$ 300

Suggested price • Pay what you can

  • Deep dive into advanced RAG techniques
  • Four 90-minute live sessions
  • Hands-on experience with embedding models
  • Learn vector search algorithms and database optimization
  • Master neural re-ranking techniques
  • Help pay for underrepresented folks in tech!
Join Now

Secure payment via Stripe

Want to schedule this course for your team?

Contact us: liz@themultiverse.school