LLM-and-RAG-Algorithms

The objective of this repository is to gather methods to build Large Language Models (LLMs) and the Retrieval Augmented generation (RAG) process.

How to create the Python environment locally

Depending on the tech stack, you can install this python environment multiple ways using the pyproject.toml file. First, open your terminal of choice and make sure you are in the root directory of this repository. If you are using uv, use the command below:

uv sync

For poetry:

poetry install

For pip:

pip install -e .