RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡#
RAGoon is a set of NLP utilities for multi-model embedding production, high-dimensional vector visualization, and aims to improve language model performance by providing contextually relevant information through search-based querying, web scraping and data augmentation techniques.
Quick install#
The reference page for RAGoon is available on the official page of PyPI: RAGoon.
pip install ragoon
Citing this project#
If you use this code in your research, please use the following BibTeX entry.
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing},
howpublished = {\url{https://github.com/louisbrulenaudet/ragoon}},
year = {2024}
}
Feedback#
If you have any feedback, please reach out at louisbrulenaudet@icloud.com.
Getting Started