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RAG

Course Introduction and Logistics

Module 1 - Basic RAG

Module 1 Introduction - Basics of Retrieval Augmented Generation with Langchain and LlamaIndex LangChain: Basic Concepts Recap LlamaIndex Introduction: Precision and Simplicity in Information Retrieval Chat with Your Code: LlamaIndex and Activeloop Deep Lake for GitHub Repositories 🦙🌊

Module 2 - Advanced RAG

Module 2 Introduction - Advanced Retrieval Augmented Generation Fine-tuning vs RAG; Introduction to Activeloop’s Deep Memory Mastering Advanced RAG Techniques with LlamaIndex Production-Ready RAG Solutions with LlamaIndex Iterative Optimization of LlamaIndex RAG Pipeline: A Step-by-Step Approach Deep Memory for RAG Applications Across Legal, Financial, and Biomedical Industries Biomedical Use Case: Advanced Retrieval Augmented Generation (RAG) for Pill Searching

Module 3 - RAG Agents

Module 3 Introduction - Retrieval Augmented Generation Agents LangChain Overview: Agents, Tools, and OpenGPT Introduction LlamaIndex RAG-AGENT: Query and Summarize Over Database Crafting AI Assistants via OpenAI and Hugging Face API Multimodal Financial Document Analysis and Recall; Tesla Investor Presentations Building a Smart Shopping Assistant with DeepLake and LlamaIndex How We Finetuned a Large Language Model & Built A Retrieval Engine to Search & Generate Patents

Module 4 - RAG Evaluation and Observability

Module 4 Introduction - Retrieval Augmented Generation Evaluation and Observability RAG - Metrics & Evaluation LangSmith Introduction

Other

Creating a RAG AI Tutor Bot with TowardsAI & Activeloop