Course curriculum
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1
Introduction to RAG systems
- Why RAG
- What is RAG system
- Overview of RAG Framework
- Quiz
- Course handouts (Updated on 2024-12-06)
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2
Getting Started with LlamaIndex
- Introduction to LlamaIndex
- Components of LlamaIndex
- Reading Material: How to get your API Key
- How to get Open AI Keys - 2 min - Website go through
- Build Your First RAG system using LlamaIndex
- Quiz
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3
Components of LlamaIndex
- Data Loaders
- Data Loaders Implementation
- Chunking - Tokenization
- Chunking _ Tokenization Implementation
- Node Parser
- Node Parser Implementation part -1
- Node Parser Implementation part- 2
- Node Parser Implementation part- 3
- Node Parser Implementation part- 4
- Embeddings
- Embeddings Implementation
- Quiz
- Indexing and Retrieval Part- 1
- Indexing and Retrieval Part- 2
- Indexing and Retrieval Implementation part- 1
- Indexing and Retrieval Implementation part- 2
- Vector Databases
- Vector Databases Implementation
- LLMs
- LLMs Implementation
- Response Synthesis
- Response Synthesis Implementation
- Query Engine
- Query Engine Implementation
- Quiz
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4
Evaluation of RAG systems
- Introduction to Evaluation Metrics
- Hit Rate and MRR
- Faithfulness
- Relevancy
- Correctness
- Quiz
- Evaluating RAG Systems - Part I
- Evaluating RAG Systems - Part II
- Evaluating different Indices
- Assignment
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5
Customization in LlamaIndex
- Metadata Management
- Metadata Extraction
- Data ingestion Pipeline
- Quiz
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6
Advanced approaches for powerful RAG system
- Finetuning Embeddings
- Challenges with Naive RAG_system
- Sentence window retriever
- Hands on: Sentence window retriever
- Auto Merging Retriever
- Hands on: Auto Merging Retriever
- Auto Retriever
- Hands on: Auto Retriever
- Recursive Retriever
- Hands on: Recursive retriever
- Hybrid Fusion Retriever
- Hands on: Hybrid Fusion Retriever
- Router Query Engine
- Hands on: Router Query Engine
- Sub Question Query Engine
- Hands on: Sub Ques Query Engine
- Multi Document Agent
- Hands on: Multi document Agents
- Quiz
- Assignment
Instructor
Prashant Sahu, Ph.D IIT Bombay, Data Science Manager, Analytics Vidhya
A dynamic and innovative Data Scientist, brings extensive experience in AI, ML, and advanced analytics to the table.
