This repository containes code from RAG++ : From POC to Production by Cohere and weights and biases.

1. Chapter 00 Chapter 00 is about setting up cohere and weave API keys. We will be using Choere command R++ model for building our RAG application and weave for monitoring and evaluating of our LLM application.
2. Chapter 01

1. Clone this repository

git clone 

2. Create your python environment

conda create --name rag_advance_env python=3.12

2. Install requirments.txt file.

pip install -r requirements.txt