1.1 Overview of RAG Concepts
1.2 The Family Tree of Large Language Models (LLMs)
1.3 Key Components Retrievers and Generators
2.1 Introduction to Semantic Search
2.2 Implementing a Simple IndexerRetriever
3.1 Crafting Effective Prompts
3.2 Few-Shot Learning and Chain-of-Thought Prompting
3.3 Designing RAG Prompts for Consistency
4.1 Building a RAG Chatbot with GPT-4
4.2 Testing Different LLMs for Retrieval and Generation
5.1 Evaluating the Retriever Part 1
5.2 Evaluating the Retriever Part 2
5.3 Assessing Generative Responses
6.1 Fine-Tuning Open-Source Embedders with Synthetic Data
6.2 Extending RAG Systems with Re-ranking
6.3 Graph DB + RAG == GraphRAG
6.4 Developing a GraphRAG System
Practical Retrieval Augmented Generation (RAG) Introduction
Practical Retrieval Augmented Generation (RAG) Introduction (1)
Practical Retrieval Augmented Generation (RAG) Summary
Topics
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