rag-optimization-workshop

This repository contains the materials for an RAG optimization workshop using Qdrant as a vector database.
It consists of Jupyter notebooks that guide you step-by-step in various optimizations and tweaks.

Prerequisites

Please clone the repository and install all the dependencies to run the notebooks.

git clone https://github.com/qdrant/workshop-rag-optimization.git

Poetry

This project uses Poetry to manage its dependencies. You can install it by following the instructions on the official website.
Once you have it, the dependencies can be installed by running:

cd workshop-rag-optimization
poetry install --no-root
poetry shell

Pip

If you don't want to use Poetry, you can install the dependencies using pip:

pip install -r requirements.txt

Running the notebooks

Once all the dependencies are installed, Jupyter notebook might be started by running the following command:

jupyter notebook

The default browser should open automatically.