AI Retrieval Augmented Generation Project (RAGP01)

In this hands-on project, you'll build a complete Retrieval-Augmented Generation system from scratch. RAG combines the power of large language models with external knowledge retrieval, enabling AI systems to provide accurate, contextual responses.

Course curriculum

1. Introduction to RAG Project
1. Environment Setup
1. API Connection
1. Indexing Structure
1. Loading Documents
1. Chunking Documents
1. Initialise Embeddings
1. Create Vectorstore
1. Run & Test Pipeline
1. Similarity Search Test
1. RAG Structure
1. RAG Imports
1. Retrieval Component
1. Prompt Engineering
1. Generation Component
1. RAG Query Pipeline
1. 17.1 RAG Example Usage
2. 17.2 RAG Example Usage
1. 18.1 Testing and Improving
1. 19.1 Wrap Up
1. Course Feedback Form

About this course

21 lessons

ITonlinelearning Academy

AI Retrieval Augmented Generation Project (RAGP01)

Course curriculum

Module 1: Introduction

Module 2: Environment Setup

Module 3: API Connection

Module 4: Indexing Structure

Module 5: Loading Documents

Module 6: Chunking Documents

Module 7: Initialise Embeddings

Module 8: Create Vectorstore

Module 9: Run & Test Pipeline

Module 10: Similarity Search test

Module 11: RAG Structure

Module 12: RAG Imports

Module 13: Retrieval Component

Module 14: Prompt Engineering

Module 15: Generation Component

Module 16: RAG Query Pipeline

Module 17: RAG Example Usage

Module 18: Testing and Improving

Module 19: Wrap Up

Course Feedback

About this course

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