Skip to main content

A python cookiecutter application to create a new python project for GenAI RAG application that uses poetry to manage its dependencies.

Project description

Cookiecutter General AI RAG Application Development Template

This is a modern Cookiecutter template for initializing Python projects, particularly for General AI RAG Application Development. It provides a comprehensive setup for development, testing, and deployment, incorporating essential tools for effective project management.

Features

This template includes the following features:

You can find an example repository created using this template here.

Quickstart

To get started, follow these steps:

Step 1: Install cookiecutter-rag

First, navigate to the directory where you want to create the project and run:

pip install cookiecutter-rag

Alternatively, you can install cookiecutter and use the GitHub repository URL directly:

pip install cookiecutter
cookiecutter git@github.com:DeepakPant93/cookiecutter-rag.git

Step 2: Create a GitHub Repository

Create a new repository on GitHub, then run the following commands in your terminal, replacing <project-name> with your GitHub repository name and <github_author_handle> with your GitHub username:

cd <project_name>
make init-repo

Step 3: Install the Environment and Pre-commit Hooks

Run the following command to install the environment and pre-commit hooks:

make bake-env

Now you're all set to start development! The CI/CD pipeline will automatically trigger on pull requests, merges to the main branch, and new releases.

For instructions on publishing to PyPI, refer to this guide. To enable automatic documentation with MkDocs, follow the steps in this guide. For code coverage setup, refer to this guide.

Documentation

You can find the documentation for this template here.

Acknowledgements

This project is inspired by Audrey Feldroy's excellent work on the cookiecutter-pypackage template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cookiecutter_rag-0.0.3.tar.gz (108.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cookiecutter_rag-0.0.3-py3-none-any.whl (123.0 kB view details)

Uploaded Python 3

File details

Details for the file cookiecutter_rag-0.0.3.tar.gz.

File metadata

  • Download URL: cookiecutter_rag-0.0.3.tar.gz
  • Upload date:
  • Size: 108.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.12.8 Linux/6.8.0-1017-azure

File hashes

Hashes for cookiecutter_rag-0.0.3.tar.gz
Algorithm Hash digest
SHA256 a64c2cb905333eec569570b53628474680a2337fae7c904483241aee45218856
MD5 a7312d4260d0b32fd84581da8240a7c9
BLAKE2b-256 9a7ff9e5c195c188545d1e27718b232c6b63622b62a663f3074222f18b26825e

See more details on using hashes here.

File details

Details for the file cookiecutter_rag-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: cookiecutter_rag-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 123.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.12.8 Linux/6.8.0-1017-azure

File hashes

Hashes for cookiecutter_rag-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 068171e738ead97af020a8a5ff5a44d3224024e7fee13513b7084974cfac025e
MD5 d35c479833f2eac9ae42c20546609581
BLAKE2b-256 d836c4c0719be4150a5c897bd397e55b7a762fbde41fad154a613e663c0c8182

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page