Free Lesson
Modern AI Search Techniques You Should Know
Part of Exploring Modern AI Search
75 min
Mar 4, 2026 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
A survey of modern AI Search techniques
We'll do an overview of key modern AI search techniques to familiarize you with when and how they can improve retrieval.
A Mental Model for Hybrid Search and Retrieval Pipelines
Retrieval is much more than base hybrid search (bm25 + semantic). We'll discuss how to combine other modern techniques.
What is Reflected Intelligence?
How do modern retrieval systems integrate user behavior and automated relevance feedback?
Get a Sneak Peek of the AI-Powered Search Course
Students in the month-long "AI-Powered Search" course learn and implement these (and more). Find out what's in store.
Why this topic matters
Modern retrieval includes techniques like Hybrid Search (BM25, Dense Vector Search, etc), Late Interaction, Wormhole Vectors, Agentic Search, Semantic Knowledge Graphs, Learning to Rank, Signals Boosting, Sparse Encoders, Active Learning, Cross-encoders, Tensors, SPLADE, Muvera, ... the list goes on. Join Trey and Doug for a quick quick rundown of some key AI Search techniques worth understanding.
You'll learn from
Trey Grainger
Founder @ Searchkernel, Author "AI-Powered Search"
Doug Turnbull
Search and Snuggie Enthusiast
Previously at
