Syllabus

• Week 1

  Introduction and Simple RAG Application

  • Course Introduction

    In the first video we present the overview of the course, and the main challenges of successfully implementing AI applications in enterprise companies.

  • Hands-on labs and homework exercises instructions

    Instructions to setup Jupyter notebook environment to execute the hands-on labs and exercises notebooks.

  • Simple RAG Introduction

    Introduction video to simple RAG applications

  • Hands-on lab walkthrough

    Video walkthrough of the hands-on lab building a simple RAG application.

  • Issues with Simple RAG

    Discussion on the recall-precision trade-off and its impact on the performance of RAG applications.

  • Lesson Reflection, Homework Exercise, and Quiz

    Review of the key points of the week, homework exercise on simple RAG notebook, and end-week quiz.

• Week 2

  Document Embedding

  • Embedding Introduction

    Introduction to text embedding

  • Embedding - Hands-on Lab

    Walkthrough of the hands-on lab on the various aspects of embedding including tokenization, vocabulary and embedding visualization.

  • Embedding Lesson Reflection and Quiz

    Lesson Reflection on the key terms and points covered in the lesson, and week-end quiz.

• Week 3

  Document Chunking

  • Document Chunking Introduction

    Video presentation of the need for document splitting and chunking and the main methods used to perform it.

  • Chunking Hands-on Lab

    Video walkthrough of the hands-on on Semantic Chunking, one of the popular chunking methods.

  • Chunking Overview

    Deeper overview of chunking strategies

  • Contextual Indexing - Hands-on Lab

    Hands-on lab to chunking enrichment using document context and LLM models.

  • Query-Document Alignment

    Discussion of the issue of misalignment of users' queries and document chunks.

  • Hands-on Lab - Reverse Hyde

    Hands-on lab on a powerful method to generate hypothetical questions for document chunks to improve query-document alignment.

  • Document Chunking Lesson Reflection

    Summary and review of the main key terms and points discussed this week.

  • Homework Exercise for Document Chunking

    Advanced exercise notebook to practice various topics and methods of document chunking.

  • Document Chunking Lesson Quiz

    Quiz to test the understanding of the main topics of document chunking.

• Week 4

  Hybrid Search in RAG

  • Hybrid Search Introduction

    Introduction to Hybrid Search in RAG application to improve document recall in the retrieval step.

  • Hands-on Lab - Hybrid Search

    Hands-on lab to implement Hybrid Search in RAG application using sparse index with BM25.

  • Hands-on Lab - Reranking

    Hands-on lab to implement reranking of Hybrid-Search results in RAG application using a cross-encoder.

  • Hybrid Search Lesson Reflection

    Summary of key terms and points from the Hybrid Search lessons.

  • Homework Exercise - Hybrid Search

    Homework exercise to implement a more sophisticated Hybrid Search using SPLADE and Cohere reranking models.

  • Hybrid Search Quiz

    Quiz on the hybrid search week topics.

• Week 5

  Multimodal RAG system to handle image based documents

  • Multimodal RAG Introduction

    Video introduction presentation of building RAG application for image based documents using Multimodal techniques.

  • Multimodal RAG Hands-on Lab

    Hands-on lab of building a multimodal RAG application on image based documents.

  • Multimodal RAG Lesson Reflection

    Overview of the main key points and terms covered in the Multimodal week.

  • Multimodal RAG Quiz

    Test on the main topics covered in the Multimodal week lesson.

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