Added README

README.md

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+# workshop-llm
+Workshop to create a RAG application to use LLM models. This workshop is developed in Python using Jupyter Notebook connected using the official libraries to IRIS.
+
+You can find more in-depth information in https://learning.intersystems.com.
+
+
+# What do you need to install? 
+* [Git](https://git-scm.com/downloads) 
+* [Docker](https://www.docker.com/products/docker-desktop) (if you are using Windows, make sure you set your Docker installation to use "Linux containers").
+* [Docker Compose](https://docs.docker.com/compose/install/)
+* [Visual Studio Code](https://code.visualstudio.com/download) + [InterSystems ObjectScript VSCode Extension](https://marketplace.visualstudio.com/items?itemName=daimor.vscode-objectscript)
+
+# Setup
+Build the image we will use during the workshop:
+
+```console
+$ git clone https://github.com/intersystems-ib/workshop-llm
+$ cd workshop-llm
+$ docker-compose build
+```
+
+# Configuration
+
+The main purpose of this example is to identify the main steps to create a RAG application using MISTRAL as LLM and IRIS as vector database to save and search the specific context.
+
+## **ATTENTION** Docker configuration
+
+There is a known issue related to the permission request from Docker Desktop to access to the folders of the project, this permission has to be granted before to launch **docker-compose up -d**. To allow the file sharing in Docker Desktop you have to open settings option, select **Resources** and **File Sharing**, from that screen you have to include the path to the project, you can see here an example:
+![alt text](/images/fileSharing.png)
+
+If you don't share this folder previously PostgreSQL database won't be initialized and the project will fail.
+
+## Test Production 
+* Run the containers that we will use in the workshop:
+```
+docker-compose build
+
+docker-compose up -d
+```
+Automatically an IRIS instance, will be deployed, a Jupyter Notebook is deployed under (http://localhost:8888) too.
+
+## IRIS database
+
+* Open the [Management Portal](http://localhost:52774/csp/sys/UtilHome.csp).
+* Login using the default `superuser`/ `SYS` account.
+* Open System Explorer --> SQL
+* Select NAMESPACE USER and Schema `Test`
+
+# Testing with Jupyter Notebook
+
+This project is devolped in Python using Jupyter Notebook, you can access to it from [here](http://localhost:8888) and open LLMTests.ipnyb file.
+![alt text](/images/jupyter.png)
+
+You can test the project step by step or execute it at one time, feel free.