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RAG & SearchAgentic AICoding with AIAI WorkflowsClaude CodeOpenClawVibe CodingAI EvalsAI TransformationMCPAI for PMsAI for EngineersAI for DesignersAI for MarketersAI for Founders

Cohort-based courses

Guided programs to get real results.

Agent Engineering Bootcamp: Developers Edition

4.8
·6 weeks·May 28 – Jul 5
Hamza Farooq Founder | Ex-Google | Prof UCLA & UMN
Zain Hasan Staff AI/ML Engineer (DX) @ Together AI

Cheat at Search with Agents

4.8
·3 weeks·Sep 28 – Oct 17
Doug Turnbull http://softwaredoug.com

End-to-End AI Engineering Bootcamp

4.9
·8 weeks·Jun 22 – Aug 16
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI-Powered Search: Modern Retrieval for Humans & Agents

4.8
·4 weeks·Jul 1 – Jul 31
Trey Grainger AI Search Expert | Founder | Author
Doug Turnbull Principal Search Engineer | Author

Agentic AI Engineering 2026 Edition

NEW·10 weeks·Jun 22 – Aug 29
Nikolay Vyahhi CEO Hyperskill | Lecturer JetBrains, MIT

+ Ruslan Davletshin, Nikalina Ogorodova, and Ivan Rodin

1-day workshops

Short, focused sessions to build specific skills.

Build your own vector database

NEW·8 hours·Aug 11
Doug Turnbull Led Search + ML at Reddit and Shopify

Free Lightning Lessons

Interactive sessions to explore new topics.
  • The AI Agent Stack in 2026

    Live
    ·May 31·45 minutes2,314 Students
    Aishwarya Naresh Reganti and Kiriti Badam
  • RAG Explained: The Architecture Behind Agentic AI Systems

    Watch
    ·30 minutes7,893 Students
    Aishwarya Srinivasan and Arvind Narayan
  • Building SQL AI Agents

    Watch
    ·90 minutes2,666 Students
    Aishwarya Srinivasan, Arvind Narayanamurthy, and Rami Krispin
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes227 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Search Trends in 2026 - by the numbers

    Live
    ·Jun 1·60 minutes73 Students
    Dawn Anderson, Trey Grainger, and Doug Turnbull
  • Agentic RAG from Scratch

    Watch
    ·30 minutes219 Students
    Raul Salles de Padua and Can Temizyurek
  • Building a Shared Human–AI Memory System

    Live
    ·Jun 26·45 minutes121 Students
    Amir Feizpour and Hugo Mailhot
  • Context Engineering & RAG for PMs: A Live Build

    Live
    ·May 24·60 minutes218 Students
    Rajesh Pentakota
  • Cross-encoders: An End-to-end Guide

    Live
    ·Jun 17·60 minutes18 Students
    Radu Gheorghe and Trey Grainger
  • Context Engineering for Agents & Multi-Agent Systems

    Watch
    ·60 minutes2,596 Students
    "Dr. Greg" Loughnane, Ph.D. and Chris "The Wiz" Alexiuk
  • Enterprise Knowledge Management and Multi-Agent Architecture

    Watch
    ·30 minutes769 Students
    Hamza Farooq
  • Adaptive Research Discovery with Obsidian and Agent Skills

    Live
    ·Jun 5·45 minutes29 Students
    Amir Feizpour and Percy (Boqi) Chen
  • Cheat at Search Essentials: BM25 + Lexical Retrieval

    Watch
    ·60 minutes112 Students
    Doug Turnbull
  • Cheat at Search Essentials: Embedding Retrieval

    Watch
    ·60 minutes94 Students
    Doug Turnbull
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·60 minutes104 Students
    Doug Turnbull
  • Cheat at Search Essentials: Vectors and Embeddings

    Watch
    ·45 minutes896 Students
    Doug Turnbull
  • RAG and LLM Fine-Tuning

    Watch
    ·30 minutes2,093 Students
    Dan Becker and Hamel Husain
  • Where are teams going wrong with search?

    Watch
    ·60 minutes98 Students
    Doug Turnbull and Trey Grainger
  • "I don't use RAG, I just retrieve documents"

    Watch
    ·30 minutes5,644 Students
    Benjamin Clavié, Hamel Husain, and Shreya Shankar
  • Modern Information Retrieval Evaluation In The RAG Era

    Watch
    ·45 minutes5,281 Students
    Nandan Thakur, Hamel Husain, and Shreya Shankar
  • Rethinking RAG from first principles for agents

    Watch
    ·60 minutes1,105 Students
    Jason Liu and Beyang Liu
  • Cheat at Search Essentials

    Watch
    ·3 lessons268 Students
    Doug Turnbull
  • Building Enterprise RAG Solutions

    Watch
    ·30 minutes1,319 Students
    Hamza Farooq
  • Build a vector database from scratch

    Watch
    ·60 minutes1,079 Students
    Doug Turnbull and John Berryman
  • Build Your AI Search Strategy Beyond SEO

    Watch
    ·30 minutes2,628 Students
    Mostafa ElBermawy
  • Cheat at Search Essentials: BM25 + Lexical

    Watch
    ·45 minutes551 Students
    Doug Turnbull
  • Context Engineering & Agentic RAG for Product Managers

    Watch
    ·30 minutes2,063 Students
    Mahesh Yadav
  • Cheat at Search Essentials: BM25 + Lexical

    Watch
    ·60 minutes369 Students
    Doug Turnbull
  • AI Search Fundamentals: Vector Spaces, Matching, & Ranking

    Watch
    ·75 minutes162 Students
    Doug Turnbull and Trey Grainger
  • Dense Vector Retrieval

    Watch
    ·30 minutes174 Students
    Raul Salles de Padua and Can Temizyurek
  • Understand GenAI in 3 Key Patterns

    Watch
    ·30 minutes769 Students
    "Dr. Greg" Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
  • Semantic Search with Low-Code

    Watch
    ·30 minutes251 Students
    Shubham Saboo
  • RAG in the age of agents. SWE-Bench as a case study.

    Watch
    ·60 minutes1,781 Students
    Jason Liu and Colin Flaherty
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·60 minutes334 Students
    Doug Turnbull
  • Modern AI Search Techniques You Should Know

    Watch
    ·75 minutes162 Students
    Trey Grainger and Doug Turnbull
  • 2026 will be the year of agentic search

    Watch
    ·60 minutes271 Students
    Jo Kristian Bergum and Doug Turnbull
  • RAG is the what. Agentic Search is the how.

    Watch
    ·60 minutes377 Students
    Doug Turnbull
  • Build a Document Processing Pipeline for RAG Systems

    Watch
    ·30 minutes610 Students
    Stefan Krawcyk
  • Incrementally Adopting AI in E-Commerce Search

    Watch
    ·60 minutes161 Students
    John Berryman and Doug Turnbull
  • AI Engineering Buildcamp Demo Day Cohort 2

    Watch
    ·90 minutes125 Students
    Alexey Grigorev
  • Mastering AI Search & LLM Optimization

    Watch
    ·30 minutes258 Students
    Mostafa Elbermavy
  • Overview of Graph Augmented LLM Systems

    Watch
    ·45 minutes93 Students
    Amir Feizpour and Percy Chen
  • RAG w/o APIs: When Function Calling Talks to Your Browser

    Watch
    ·60 minutes247 Students
    Jason Liu and Michael Struwig
  • Build a vector database from scratch (part two)

    Watch
    ·60 minutes226 Students
    Doug Turnbull and Eric Pugh
  • Discovering the Power of Lexical Search in RAG Applications

    Watch
    ·45 minutes254 Students
    John Berryman
  • Data is Everything: Finding needles in multimodal haystacks

    Watch
    ·60 minutes230 Students
    Jason Liu, Rajan Agarwal, and Luke Igel
  • Hybrid search live coded from scratch

    Watch
    ·60 minutes286 Students
    Doug Turnbull and Ben Trent
  • Lessons on retrieval for autonomous coding agents

    Watch
    ·60 minutes2,230 Students
    Jason Liu and Nik Pash
  • Reliable RAG Agents: Intent-Driven Failure Detection

    Watch
    ·60 minutes298 Students
    Jason Liu and Ben Hylak
  • Agentic Search: Are LLMs Replacing Decades of IR Wisdom?

    Watch
    ·60 minutes313 Students
    Jon Handler and Trey Grainger
  • AI-Powered Code Search At Scale

    Watch
    ·75 minutes134 Students
    Audrey Lorberfeld and Trey Grainger
  • Foundations of AI-Powered Search

    Watch
    ·75 minutes241 Students
    Trey Grainger and Doug Turnbull
  • Personalized Relevance with VLMs and Sparse Vectors

    Watch
    ·60 minutes193 Students
    Piotr Kobziakowski and Trey Grainger
  • Modern Multi-Vector Code Search

    Watch
    ·60 minutes157 Students
    Aamir Shakir and Isaac Flath
  • Dropbox: Knowledge Graphs, Prompt Optimizers, and MCPs

    Watch
    ·60 minutes412 Students
    Jason Liu and Josh Clemm
  • Engineer Effective Context Systems

    Watch
    ·30 minutes52 Students
    Carmelo Iaria
  • Will agents replace search teams? A discussion

    Watch
    ·60 minutes181 Students
    Daniel Tunkenlang and Doug Turnbull
  • A tour of OpenSearch 3.6's new agentic features

    Watch
    ·60 minutes188 Students
    Eric Pugh, Doug Turnbull, and Mingshi Liu
  • Exploring Modern AI Search

    Watch
    ·6 lessons285 Students
    Trey Grainger
  • Long-Context: RAG is Dead, Long Live RAG

    Watch
    ·30 minutes382 Students
    "Dr. Greg" Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
  • Agentic Enterprise Knowledge Management

    Watch
    ·30 minutes246 Students
    Hamza Farooq
  • Build an AI powered recommendation system (in one hour)

    Watch
    ·60 minutes304 Students
    Shreyans Bhansali
  • Building RAG Systems with AWS Bedrock

    Watch
    ·45 minutes176 Students
    Amir Feizpour and Omid Omidi
  • Better RAG using Relevant Information Gain

    Watch
    ·45 minutes119 Students
    Amir Feizpour and Marc Pickett
  • Anatomy of a Deep Research System - Part 2 - Evaluation

    Watch
    ·45 minutes164 Students
    Amir Feizpour and Suhas Pai
  • De-Risking LLM Model Switches w Evals & Prompt Optimization

    Watch
    ·45 minutes145 Students
    Amir Feizpour and Hugo Mailhot
  • Practical Design Patterns for RAG

    Watch
    ·45 minutes1,735 Students
    Amir Feizpour and Omid Omidi
  • Hybrid Search Is Just The Beginning: Optimizing the R in RAG

    Watch
    ·45 minutes1,099 Students
    Doug Turnbull and Hamel Husain
  • RAG Anti-patterns in the Wild, and How to Fix Them

    Watch
    ·60 minutes796 Students
    Jason Liu and Skylar Payne
  • Natural Language Search on Semi-Structured Data

    Watch
    ·60 minutes1,293 Students
    Jason Liu and Daniel Svonava
  • CTO's Playbook for Faster Agentic RAG

    Watch
    ·60 minutes655 Students
    Nirant Kasiwal and Doug Turnbull
  • Latency First: How to Actually Make RAG & Agents Fast

    Watch
    ·60 minutes692 Students
    Jason Liu and Aarush Sah
  • Optimize Structured Data Retrieval With Evals

    Watch
    ·45 minutes843 Students
    Daniel Svonava and Hamel Husain
  • Better RAG Through Better Data

    Watch
    ·60 minutes798 Students
    Jason Liu and Adit Abraham
  • From Text-RAG to Vision-RAG w/ VP Search @ Cohere

    Watch
    ·60 minutes772 Students
    Jason Liu and Nils Reimers
  • Semantic search over the web with Exa

    Watch
    ·60 minutes235 Students
    Jason Liu and Will Bryk
  • How to Build a RAG App with OpenAI & Supabase

    Watch
    ·60 minutes173 Students
    Bryce Klein and Shaw Talebi
  • Improving retrievers by Reranking and embedding fine-tuning

    Watch
    ·60 minutes960 Students
    Jason Liu and Ayush Chaurasia
  • Reasoning Opens up New Retrieval Frontiers

    Watch
    ·30 minutes4,858 Students
    Orion Weller, Hamel Husain, and Shreya Shankar
  • Going Further: Late Interaction Beats Single Vector Limits

    Watch
    ·30 minutes4,812 Students
    Antoine Chaffin, Hamel Husain, and Shreya Shankar
  • The Map Is Not The Territory – Highly Multimodal Search

    Watch
    ·45 minutes4,830 Students
    Bryan Bischof and Ayush Chaurasia
  • Could your search be better without vectors? BM25 + friends

    Watch
    ·45 minutes908 Students
    Doug Turnbull
  • Build Your Own “Deep Research” with LlamaIndex

    Watch
    ·75 minutes120 Students
    Laurie Voss and Noah Hein
  • Billion-Scale Vector Search on Object Storage

    Watch
    ·60 minutes528 Students
    Jason Liu and Simon Hørup Eskildsen
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·45 minutes821 Students
    Doug Turnbull
  • Underrated: Elasticsearch for vector search + AI

    Watch
    ·45 minutes257 Students
    Doug Turnbull and Philipp Krenn
  • From Text-RAG to Vision-RAG with Cohere

    Watch
    ·60 minutes695 Students
    Jason Liu and Nils Reimers
  • The many shades of text search in vector retrieval

    Watch
    ·45 minutes155 Students
    Evgeniya Sukhodolskaya and Doug Turnbull
  • RAG Without the Lag: Interactive Debugging For RAG Pipelines

    Watch
    ·30 minutes633 Students
    Quentin Romero Lauro and Shreya Shankar
  • Cheating at Query Understanding with LLMs

    Watch
    ·60 minutes663 Students
    Jason Liu and Doug Turnbull
  • Improving RAG: Embedding models & representation learning

    Watch
    ·60 minutes201 Students
    Jason Liu and Daniel Svonava
  • Ranking is overrated: why query understanding matters more

    Watch
    ·60 minutes327 Students
    Daniel Tunkelang and Doug Turnbull
  • Synthetic RAG evaluation

    Watch
    ·60 minutes210 Students
    Alexey Grigorev and Doug Turnbull
  • Beyond Hybrid Search with "Wormhole Vectors"

    Watch
    ·60 minutes186 Students
    Trey Grainger and Dmitry Kan
  • Use LLMs as Judges for Search Result Quality

    Watch
    ·75 minutes210 Students
    René Kriegler and Trey Grainger
  • Beyond chunks - how to actually data model for RAG

    Watch
    ·60 minutes260 Students
    Radu Gheorghe and Doug Turnbull
  • Building Deep Research Systems

    Watch
    ·30 minutes371 Students
    Andrei Lopatenko and Doug Turnbull
  • Optimizing Multimodal Vector Search for E-commerce

    Watch
    ·60 minutes171 Students
    Philippe Bouzaglou and Trey Grainger
  • Interleaving for better RAG evaluation

    Watch
    ·60 minutes279 Students
    Max Irwin, Doug Turnbull, and Trey Grainger
  • The 1/2 Token Codebase Search.

    Watch
    ·60 minutes146 Students
    Rui Huang and Isaac Flath
  • What is agentic search? (and why should I care!?)

    Watch
    ·60 minutes348 Students
    Doug Turnbull
  • Tuning the Tuners-Can agents automate OpenSearchs relevance?

    Watch
    ·60 minutes134 Students
    Eric Pugh and Doug Turnbull
  • RAG isn't a vector search problem

    Watch
    ·60 minutes250 Students
    John Berryman and Doug Turnbull
  • Cheat at Search Essentials: Vectors and Embeddings

    Watch
    ·60 minutes257 Students
    Doug Turnbull
  • Live Build: Watch Me Wire Your Data into an AI Agent

    Watch
    ·45 minutes102 Students
    Lev Gorelov
  • Build RAG System with LangChain

    Watch
    ·60 minutes107 Students
    Nitin Monga
  • Offline search relevance testing with Vespa & Quepid

    Watch
    ·60 minutes109 Students
    Charlie Hull and Trey Grainger
  • Optimizing Search & Data Processing with Self-hosted SLMs

    Watch
    ·60 minutes214 Students
    Daniel Svonava, Trey Grainger, and Doug Turnbull
  • Building RAG-Enabled Agents w/ Postgres and Agent Framework

    Watch
    ·60 minutes80 Students
    Spencer Schneidenbach
  • Are we all doing "retrieval" wrong?... a candid discussion

    Watch
    ·60 minutes139 Students
    Andreas Wagner, Trey Grainger, and Doug Turnbull
  • Agentic Search: What's the big deal?

    Watch
    ·60 minutes92 Students
    Doug Turnbull and Trey Grainger

Browse by topic

  • Agentic AI
  • Coding with AI
  • AI Workflows
  • Claude Code
  • OpenClaw
  • Vibe Coding
  • AI Evals
  • AI Transformation
  • RAG & Search
  • MCP
  • AI for PMs
  • AI for Engineers
  • AI for Designers
  • AI for Marketers
  • AI for Founders
AI

RAG & Search

Cohort-based courses

Guided programs to get real results.

Agent Engineering Bootcamp: Developers Edition

4.8
·6 weeks·May 28 – Jul 5
Hamza Farooq Founder | Ex-Google | Prof UCLA & UMN
Zain Hasan Staff AI/ML Engineer (DX) @ Together AI

Cheat at Search with Agents

4.8
·3 weeks·Sep 28 – Oct 17
Doug Turnbull http://softwaredoug.com

End-to-End AI Engineering Bootcamp

4.9
·8 weeks·Jun 22 – Aug 16
Aurimas Griciunas Founder @ SwirlAI • Ex CPO @ neptune.ai

AI-Powered Search: Modern Retrieval for Humans & Agents

4.8
·4 weeks·Jul 1 – Jul 31
Trey Grainger AI Search Expert | Founder | Author
Doug Turnbull Principal Search Engineer | Author

Agentic AI Engineering 2026 Edition

NEW·10 weeks·Jun 22 – Aug 29
Nikolay Vyahhi CEO Hyperskill | Lecturer JetBrains, MIT

+ Ruslan Davletshin, Nikalina Ogorodova, and Ivan Rodin

1-day workshops

Short, focused sessions to build specific skills.

Build your own vector database

NEW·8 hours·Aug 11
Doug Turnbull Led Search + ML at Reddit and Shopify

Free Lightning Lessons

Interactive sessions to explore new topics.
  • The AI Agent Stack in 2026

    Live
    ·May 31·45 minutes2,314 Students
    Aishwarya Naresh Reganti and Kiriti Badam
  • RAG Explained: The Architecture Behind Agentic AI Systems

    Watch
    ·30 minutes7,893 Students
    Aishwarya Srinivasan and Arvind Narayan
  • Building SQL AI Agents

    Watch
    ·90 minutes2,666 Students
    Aishwarya Srinivasan, Arvind Narayanamurthy, and Rami Krispin
  • A Bag-of-Documents Model for Query Understanding & Retrieval

    Watch
    ·60 minutes227 Students
    Daniel Tunkelang, Trey Grainger, and Doug Turnbull
  • Search Trends in 2026 - by the numbers

    Live
    ·Jun 1·60 minutes73 Students
    Dawn Anderson, Trey Grainger, and Doug Turnbull
  • Agentic RAG from Scratch

    Watch
    ·30 minutes219 Students
    Raul Salles de Padua and Can Temizyurek
  • Building a Shared Human–AI Memory System

    Live
    ·Jun 26·45 minutes121 Students
    Amir Feizpour and Hugo Mailhot
  • Context Engineering & RAG for PMs: A Live Build

    Live
    ·May 24·60 minutes218 Students
    Rajesh Pentakota
  • Cross-encoders: An End-to-end Guide

    Live
    ·Jun 17·60 minutes18 Students
    Radu Gheorghe and Trey Grainger
  • Context Engineering for Agents & Multi-Agent Systems

    Watch
    ·60 minutes2,596 Students
    "Dr. Greg" Loughnane, Ph.D. and Chris "The Wiz" Alexiuk
  • Enterprise Knowledge Management and Multi-Agent Architecture

    Watch
    ·30 minutes769 Students
    Hamza Farooq
  • Adaptive Research Discovery with Obsidian and Agent Skills

    Live
    ·Jun 5·45 minutes29 Students
    Amir Feizpour and Percy (Boqi) Chen
  • Cheat at Search Essentials: BM25 + Lexical Retrieval

    Watch
    ·60 minutes112 Students
    Doug Turnbull
  • Cheat at Search Essentials: Embedding Retrieval

    Watch
    ·60 minutes94 Students
    Doug Turnbull
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·60 minutes104 Students
    Doug Turnbull
  • Cheat at Search Essentials: Vectors and Embeddings

    Watch
    ·45 minutes896 Students
    Doug Turnbull
  • RAG and LLM Fine-Tuning

    Watch
    ·30 minutes2,093 Students
    Dan Becker and Hamel Husain
  • Where are teams going wrong with search?

    Watch
    ·60 minutes98 Students
    Doug Turnbull and Trey Grainger
  • "I don't use RAG, I just retrieve documents"

    Watch
    ·30 minutes5,644 Students
    Benjamin Clavié, Hamel Husain, and Shreya Shankar
  • Modern Information Retrieval Evaluation In The RAG Era

    Watch
    ·45 minutes5,281 Students
    Nandan Thakur, Hamel Husain, and Shreya Shankar
  • Rethinking RAG from first principles for agents

    Watch
    ·60 minutes1,105 Students
    Jason Liu and Beyang Liu
  • Cheat at Search Essentials

    Watch
    ·3 lessons268 Students
    Doug Turnbull
  • Building Enterprise RAG Solutions

    Watch
    ·30 minutes1,319 Students
    Hamza Farooq
  • Build a vector database from scratch

    Watch
    ·60 minutes1,079 Students
    Doug Turnbull and John Berryman
  • Build Your AI Search Strategy Beyond SEO

    Watch
    ·30 minutes2,628 Students
    Mostafa ElBermawy
  • Cheat at Search Essentials: BM25 + Lexical

    Watch
    ·45 minutes551 Students
    Doug Turnbull
  • Context Engineering & Agentic RAG for Product Managers

    Watch
    ·30 minutes2,063 Students
    Mahesh Yadav
  • Cheat at Search Essentials: BM25 + Lexical

    Watch
    ·60 minutes369 Students
    Doug Turnbull
  • AI Search Fundamentals: Vector Spaces, Matching, & Ranking

    Watch
    ·75 minutes162 Students
    Doug Turnbull and Trey Grainger
  • Dense Vector Retrieval

    Watch
    ·30 minutes174 Students
    Raul Salles de Padua and Can Temizyurek
  • Understand GenAI in 3 Key Patterns

    Watch
    ·30 minutes769 Students
    "Dr. Greg" Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
  • Semantic Search with Low-Code

    Watch
    ·30 minutes251 Students
    Shubham Saboo
  • RAG in the age of agents. SWE-Bench as a case study.

    Watch
    ·60 minutes1,781 Students
    Jason Liu and Colin Flaherty
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·60 minutes334 Students
    Doug Turnbull
  • Modern AI Search Techniques You Should Know

    Watch
    ·75 minutes162 Students
    Trey Grainger and Doug Turnbull
  • 2026 will be the year of agentic search

    Watch
    ·60 minutes271 Students
    Jo Kristian Bergum and Doug Turnbull
  • RAG is the what. Agentic Search is the how.

    Watch
    ·60 minutes377 Students
    Doug Turnbull
  • Build a Document Processing Pipeline for RAG Systems

    Watch
    ·30 minutes610 Students
    Stefan Krawcyk
  • Incrementally Adopting AI in E-Commerce Search

    Watch
    ·60 minutes161 Students
    John Berryman and Doug Turnbull
  • AI Engineering Buildcamp Demo Day Cohort 2

    Watch
    ·90 minutes125 Students
    Alexey Grigorev
  • Mastering AI Search & LLM Optimization

    Watch
    ·30 minutes258 Students
    Mostafa Elbermavy
  • Overview of Graph Augmented LLM Systems

    Watch
    ·45 minutes93 Students
    Amir Feizpour and Percy Chen
  • RAG w/o APIs: When Function Calling Talks to Your Browser

    Watch
    ·60 minutes247 Students
    Jason Liu and Michael Struwig
  • Build a vector database from scratch (part two)

    Watch
    ·60 minutes226 Students
    Doug Turnbull and Eric Pugh
  • Discovering the Power of Lexical Search in RAG Applications

    Watch
    ·45 minutes254 Students
    John Berryman
  • Data is Everything: Finding needles in multimodal haystacks

    Watch
    ·60 minutes230 Students
    Jason Liu, Rajan Agarwal, and Luke Igel
  • Hybrid search live coded from scratch

    Watch
    ·60 minutes286 Students
    Doug Turnbull and Ben Trent
  • Lessons on retrieval for autonomous coding agents

    Watch
    ·60 minutes2,230 Students
    Jason Liu and Nik Pash
  • Reliable RAG Agents: Intent-Driven Failure Detection

    Watch
    ·60 minutes298 Students
    Jason Liu and Ben Hylak
  • Agentic Search: Are LLMs Replacing Decades of IR Wisdom?

    Watch
    ·60 minutes313 Students
    Jon Handler and Trey Grainger
  • AI-Powered Code Search At Scale

    Watch
    ·75 minutes134 Students
    Audrey Lorberfeld and Trey Grainger
  • Foundations of AI-Powered Search

    Watch
    ·75 minutes241 Students
    Trey Grainger and Doug Turnbull
  • Personalized Relevance with VLMs and Sparse Vectors

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    ·60 minutes193 Students
    Piotr Kobziakowski and Trey Grainger
  • Modern Multi-Vector Code Search

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    ·60 minutes157 Students
    Aamir Shakir and Isaac Flath
  • Dropbox: Knowledge Graphs, Prompt Optimizers, and MCPs

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    ·60 minutes412 Students
    Jason Liu and Josh Clemm
  • Engineer Effective Context Systems

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    ·30 minutes52 Students
    Carmelo Iaria
  • Will agents replace search teams? A discussion

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    ·60 minutes181 Students
    Daniel Tunkenlang and Doug Turnbull
  • A tour of OpenSearch 3.6's new agentic features

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    ·60 minutes188 Students
    Eric Pugh, Doug Turnbull, and Mingshi Liu
  • Exploring Modern AI Search

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    ·6 lessons285 Students
    Trey Grainger
  • Long-Context: RAG is Dead, Long Live RAG

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    ·30 minutes382 Students
    "Dr. Greg" Loughnane and Chris "The LLM Wizard 🪄" Alexiuk
  • Agentic Enterprise Knowledge Management

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    ·30 minutes246 Students
    Hamza Farooq
  • Build an AI powered recommendation system (in one hour)

    Watch
    ·60 minutes304 Students
    Shreyans Bhansali
  • Building RAG Systems with AWS Bedrock

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    ·45 minutes176 Students
    Amir Feizpour and Omid Omidi
  • Better RAG using Relevant Information Gain

    Watch
    ·45 minutes119 Students
    Amir Feizpour and Marc Pickett
  • Anatomy of a Deep Research System - Part 2 - Evaluation

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    ·45 minutes164 Students
    Amir Feizpour and Suhas Pai
  • De-Risking LLM Model Switches w Evals & Prompt Optimization

    Watch
    ·45 minutes145 Students
    Amir Feizpour and Hugo Mailhot
  • Practical Design Patterns for RAG

    Watch
    ·45 minutes1,735 Students
    Amir Feizpour and Omid Omidi
  • Hybrid Search Is Just The Beginning: Optimizing the R in RAG

    Watch
    ·45 minutes1,099 Students
    Doug Turnbull and Hamel Husain
  • RAG Anti-patterns in the Wild, and How to Fix Them

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    ·60 minutes796 Students
    Jason Liu and Skylar Payne
  • Natural Language Search on Semi-Structured Data

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    ·60 minutes1,293 Students
    Jason Liu and Daniel Svonava
  • CTO's Playbook for Faster Agentic RAG

    Watch
    ·60 minutes655 Students
    Nirant Kasiwal and Doug Turnbull
  • Latency First: How to Actually Make RAG & Agents Fast

    Watch
    ·60 minutes692 Students
    Jason Liu and Aarush Sah
  • Optimize Structured Data Retrieval With Evals

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    ·45 minutes843 Students
    Daniel Svonava and Hamel Husain
  • Better RAG Through Better Data

    Watch
    ·60 minutes798 Students
    Jason Liu and Adit Abraham
  • From Text-RAG to Vision-RAG w/ VP Search @ Cohere

    Watch
    ·60 minutes772 Students
    Jason Liu and Nils Reimers
  • Semantic search over the web with Exa

    Watch
    ·60 minutes235 Students
    Jason Liu and Will Bryk
  • How to Build a RAG App with OpenAI & Supabase

    Watch
    ·60 minutes173 Students
    Bryce Klein and Shaw Talebi
  • Improving retrievers by Reranking and embedding fine-tuning

    Watch
    ·60 minutes960 Students
    Jason Liu and Ayush Chaurasia
  • Reasoning Opens up New Retrieval Frontiers

    Watch
    ·30 minutes4,858 Students
    Orion Weller, Hamel Husain, and Shreya Shankar
  • Going Further: Late Interaction Beats Single Vector Limits

    Watch
    ·30 minutes4,812 Students
    Antoine Chaffin, Hamel Husain, and Shreya Shankar
  • The Map Is Not The Territory – Highly Multimodal Search

    Watch
    ·45 minutes4,830 Students
    Bryan Bischof and Ayush Chaurasia
  • Could your search be better without vectors? BM25 + friends

    Watch
    ·45 minutes908 Students
    Doug Turnbull
  • Build Your Own “Deep Research” with LlamaIndex

    Watch
    ·75 minutes120 Students
    Laurie Voss and Noah Hein
  • Billion-Scale Vector Search on Object Storage

    Watch
    ·60 minutes528 Students
    Jason Liu and Simon Hørup Eskildsen
  • Cheat at Search Essentials: Evaluation, NDCG, and pals

    Watch
    ·45 minutes821 Students
    Doug Turnbull
  • Underrated: Elasticsearch for vector search + AI

    Watch
    ·45 minutes257 Students
    Doug Turnbull and Philipp Krenn
  • From Text-RAG to Vision-RAG with Cohere

    Watch
    ·60 minutes695 Students
    Jason Liu and Nils Reimers
  • The many shades of text search in vector retrieval

    Watch
    ·45 minutes155 Students
    Evgeniya Sukhodolskaya and Doug Turnbull
  • RAG Without the Lag: Interactive Debugging For RAG Pipelines

    Watch
    ·30 minutes633 Students
    Quentin Romero Lauro and Shreya Shankar
  • Cheating at Query Understanding with LLMs

    Watch
    ·60 minutes663 Students
    Jason Liu and Doug Turnbull
  • Improving RAG: Embedding models & representation learning

    Watch
    ·60 minutes201 Students
    Jason Liu and Daniel Svonava
  • Ranking is overrated: why query understanding matters more

    Watch
    ·60 minutes327 Students
    Daniel Tunkelang and Doug Turnbull
  • Synthetic RAG evaluation

    Watch
    ·60 minutes210 Students
    Alexey Grigorev and Doug Turnbull
  • Beyond Hybrid Search with "Wormhole Vectors"

    Watch
    ·60 minutes186 Students
    Trey Grainger and Dmitry Kan
  • Use LLMs as Judges for Search Result Quality

    Watch
    ·75 minutes210 Students
    René Kriegler and Trey Grainger
  • Beyond chunks - how to actually data model for RAG

    Watch
    ·60 minutes260 Students
    Radu Gheorghe and Doug Turnbull
  • Building Deep Research Systems

    Watch
    ·30 minutes371 Students
    Andrei Lopatenko and Doug Turnbull
  • Optimizing Multimodal Vector Search for E-commerce

    Watch
    ·60 minutes171 Students
    Philippe Bouzaglou and Trey Grainger
  • Interleaving for better RAG evaluation

    Watch
    ·60 minutes279 Students
    Max Irwin, Doug Turnbull, and Trey Grainger
  • The 1/2 Token Codebase Search.

    Watch
    ·60 minutes146 Students
    Rui Huang and Isaac Flath
  • What is agentic search? (and why should I care!?)

    Watch
    ·60 minutes348 Students
    Doug Turnbull
  • Tuning the Tuners-Can agents automate OpenSearchs relevance?

    Watch
    ·60 minutes134 Students
    Eric Pugh and Doug Turnbull
  • RAG isn't a vector search problem

    Watch
    ·60 minutes250 Students
    John Berryman and Doug Turnbull
  • Cheat at Search Essentials: Vectors and Embeddings

    Watch
    ·60 minutes257 Students
    Doug Turnbull
  • Live Build: Watch Me Wire Your Data into an AI Agent

    Watch
    ·45 minutes102 Students
    Lev Gorelov
  • Build RAG System with LangChain

    Watch
    ·60 minutes107 Students
    Nitin Monga
  • Offline search relevance testing with Vespa & Quepid

    Watch
    ·60 minutes109 Students
    Charlie Hull and Trey Grainger
  • Optimizing Search & Data Processing with Self-hosted SLMs

    Watch
    ·60 minutes214 Students
    Daniel Svonava, Trey Grainger, and Doug Turnbull
  • Building RAG-Enabled Agents w/ Postgres and Agent Framework

    Watch
    ·60 minutes80 Students
    Spencer Schneidenbach
  • Are we all doing "retrieval" wrong?... a candid discussion

    Watch
    ·60 minutes139 Students
    Andreas Wagner, Trey Grainger, and Doug Turnbull
  • Agentic Search: What's the big deal?

    Watch
    ·60 minutes92 Students
    Doug Turnbull and Trey Grainger

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