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

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 28 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Cohort 1 Guest Lectures Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization

All Course Lessons (28)

#Lesson TitleDurationAccess
1
Cohort 1 Guest Lectures Building Dynamic AI Memory Systems Sam Whitmore's Approach to Personalization Demo
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

Unlock unlimited learning

Get instant access to all 27 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

5 Levels of Agents - Coding Agents

5 Levels of Agents - Coding Agents

Sources: Mckay Wrigley (takeoff)
This course teaches the creation of intelligent coding agents by going through five levels of complexity. You will learn to develop agents for review and...
5 hours 4 minutes 36 seconds
Master AI for Work

Master AI for Work

Sources: Towards AI, Louis-François Bouchard
The course "Master AI for Work" is designed for those who want to achieve real results from using large language models (LLM) in their professional...
2 hours 27 minutes 56 seconds
Semantic Log Indexing & Search

Semantic Log Indexing & Search

Sources: Andreas Kretz
Semantic search is one of the most practical ways to apply generative AI in real-world data processing projects. In this course, we go beyond...
53 minutes 37 seconds
Building Apps with o1 Pro Template System: Part 1

Building Apps with o1 Pro Template System: Part 1

Sources: Mckay Wrigley (takeoff)
This is the first part of a two-part practical course. In this module, you will get acquainted with the basic workflow of creating applications using...
4 hours 4 minutes 38 seconds