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# 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

- 🚀 Installation
- 🖼️ Tutorials
  - Embeddings production
  - Similarity search
  - Embeddings visualization
  - Dynamic web search

# Indices and tables

- Index

- Module Index

- Search Page