Systematically Improving RAG Applications - Bonus Content

24h 50m 24s
English
Paid

Course description

The bonus part of the course provides participants with access to additional materials from previous cohorts, including workshops, guest lectures, and Q&A sessions. This is a valuable source of practical cases, best practices, and in-depth technical analyses.

Read more about the course

Cohort 1 Workshops

Six practical workshops from the first cohort, complementing the main program:

  • Workshop 1
  • Workshop 2
  • Workshop 3
  • Workshop 4
  • Workshop 5
  • Workshop 6

Cohort 1 Guest Lectures

Guest lectures from experts from leading AI companies:

  • Building Dynamic AI Memory Systems - personalization by Sam Whitmore
  • Text Chunking in RAG - Anton from ChromaDB
  • Custom RAG Evaluations - with Vespa.ai
  • Multimodal RAG, Hybrid Search & Re-ranking Tips - with LanceDB and Unstructured
  • Leveraging User Feedback - experience from Zapier Central
  • Guide to RAG Complexity - from Cohere and Modal Labs
  • Boosting BM25 with Generative AI - Doug Turnbull

Cohort 1 Office Hours

A series of Q&A sessions addressing practical challenges:

  • Building scalable RAG systems
  • Query optimization and routing
  • Fine-tuning re-rankers
  • Alternative search methods: ColBERT, SPLADE
  • DAGs, serverless architecture
  • Special sessions for the APAC region

Cohort 2 Guest Lectures

Guest lectures from the second cohort:

  • Evolving workflows for RAG optimization
  • Lexical Love - John Berriman
  • Common Mistakes with Evals - Hamel Husain
  • Workflow agents - Jerry Liu (LlamaIndex)
  • Query Routing - Anton Troynikov (ChromaDB)
  • Fine-Tuning for Enterprise Search - Glean team

Watch Online

Join premium to watch
Go to premium
# Title Duration
1 Cohort 1 Guest Lectures Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization 55:45
2 Cohort 1 Guest Lectures Text Chunking in RAG Essential Guide with Anton from ChromaDB 01:01:30
3 Cohort 1 Guest Lectures Custom RAG Evaluations w Vespa.ai 53:38
4 Cohort 1 Guest Lectures Multimodal RAG, Hybrid Search & Re-ranking Tips with LanceDB and Unstructured 59:05
5 Cohort 1 Guest Lectures Leveraging User Feedback for Better RAG Systems Lessons from Zapier Central 55:17
6 Cohort 1 Guest Lectures Cohere's Guide to RAG Complexity and Tips from Modal Labs 01:08:24
7 Cohort 1 Guest Lectures Boosting BM25 with Generative AI Insights from Doug Turnbull 58:12
8 Cohort 1 Office Hours Beyond Dense Embeddings Exploring Colbert, SPLADE, & Advanced Retrieval Techniques Office Hours 25:32
9 Cohort 1 Office Hours Building Resilient RAG Systems for Large-Scale Data Office Hours 01:00:09
10 Cohort 1 Office Hours Building Scalable Systems with DAGs and Serverless for RAG APAC Office Hours 59:01
11 Cohort 1 Office Hours Data Flywheels & Fine-Tuning Re-Rankers for Retrieval Systems Office Hours 29:17
12 Cohort 1 Office Hours Evaluating Agent Performance and Planning Reliability in AI Systems APAC Office Hours 47:42
13 Cohort 1 Office Hours Handling Real-Time Insights & Advanced Retrieval Challenges APAC Office Hours 51:37
14 Cohort 1 Office Hours Optimizing Planner and Feedback Mechanisms in RAG Systems APAC Office Hours 44:25
15 Cohort 1 Office Hours Smart Routing and Query Optimization for Advanced Retrieval Systems Office Hours 42:23
16 Cohort 1 Office Hours Using AI to Streamline Query Understanding & User Feedback Office Hours 44:33
17 Cohort 2 Guest Lectures Building document workflow agents with Jerry Liu from Llama Index 44:28
18 Cohort 2 Guest Lectures Building scalable RAG applications Evolving workflows for sharing and optimization [Ankur Goyal] 45:20
19 Cohort 2 Guest Lectures Common Mistakes People Make with Evals [Hamel Husain] 40:34
20 Cohort 2 Guest Lectures Inside Glean Fine-Tuning Embedding Models for Optimized AI and Enterprise Search 47:25
21 Cohort 2 Guest Lectures Lexical Love Rediscovering the Power of Text in RAG [John Berryman] 46:28
22 Cohort 2 Guest Lectures Organizing Your Data for Query Routing [Anton Troynikov from ChromaDB] 44:55
23 RAG Cohort 1 - Workshop 1 01:00:00
24 RAG Cohort 1 - Workshop 2 01:38:02
25 RAG Cohort 1 - Workshop 3 01:05:01
26 RAG Cohort 1 - Workshop 4 58:20
27 RAG Cohort 1 - Workshop 5 57:37
28 RAG Cohort 1 - Workshop 6 01:05:44

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

Build AI-Powered Apps – An AI Course for Developers

Build AI-Powered Apps – An AI Course for Developers

Sources: codewithmosh (Mosh Hamedani)
AI is everywhere - but can you really create applications with it? Most developers have tried ChatGPT. Some have even inserted pieces...
7 hours 3 minutes 31 seconds
Full-Stack SaaS Development Course on Cloudflare Workers

Full-Stack SaaS Development Course on Cloudflare Workers

Sources: backpine labs
This is a practical training where you will step by step master full-stack development of SaaS applications based on Cloudflare Workers. The program is built...
11 hours 27 minutes 15 seconds
Build and Deploy a SaaS AI Agent Platform

Build and Deploy a SaaS AI Agent Platform

Sources: Code With Antonio
In this video course, you will create a video call application with AI support from scratch. You will learn how to set up real-time video communication...
13 hours 24 minutes 14 seconds
Model Context Protocol (MCP) 101

Model Context Protocol (MCP) 101

Sources: Mckay Wrigley (takeoff)
In this course, you will learn what Model Context Protocol (MCP) is, why it is important, and how to apply it in practice. We will cover the main principles...
2 hours 10 minutes 15 seconds
Build Your First Product with LLMs, Prompting, RAG

Build Your First Product with LLMs, Prompting, RAG

Sources: Towards AI, Louis-François Bouchard
This practical intensive course will provide you with all the necessary skills to create a fully functional advanced product based on large language models...
2 hours 25 minutes 20 seconds