# Workshop Repository Update 🔄

## Overview
This repository has transitioned from the "Azure-OpenAI-Workshop" to a more focused approach on RAG (Retrieval Augmented Generation) and LangChain, with Neuron Vision instructors leading the way. 🚀

### 🤖 Workshop 1: Building-my-own-bot
A beginner-friendly workshop to understand the basic concepts of RAG.

### 🔍 Workshop 2: Exploring LangChain
Dive into the world of LangChain for automating and creating specialized tools.

## WS1 Agenda 📅

### Setting Up
- 🔧 **Setting CodeSpace cloud environment:** Prepare your cloud environment for the exercises. (15 mins)

### Introduction
- 📑 **Intro Slides:** Kick-off with an introductory presentation. (15 mins)

### Hands-On Sessions
1. 🚀 **Running the Quick Start Notebook:** Get your hands dirty with the first exercise. (20 mins)
2. 🛠 **Solving the Preprocessing Notebook:** Tackle preprocessing challenges. (30 mins)
3. 🌐 **Using a Local Embedder:** Learn to represent text phrases as vectors in an LLM space. (30 mins)

### Break Time
- ☕ **Break:** Take a short break to refresh. (15 mins)

### More Hands-On Learning
4. 🧠 **My First Domain Expert:** Dive into Q&A sessions using local data (text files). (30 mins)
5. 📊 **Semantic Answering Exercise:** Engage in Q&A using a local database. (30 mins)
6. 📝 **Wraps Up, Feedbacks, and Q&A Session:** Conclude with feedback and a final Q&A. (15 mins)