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🚀 RAGoon is now available on PyPI, GitHub, and as a Space on Hugging Face for batched embeddings generation 🤗
🚀 RAGoon is now available on PyPI, GitHub, and as a Space on Hugging Face for batched embeddings generation 🤗
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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.
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.
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At this stage, 5 major classes are available via RAGoon to facilitate:
At this stage, 5 major classes are available via RAGoon to facilitate:
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- the production of chain embeddings for several models to simplify a continuous deployment process;
- the production of chain embeddings for several models to simplify a continuous deployment process;
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- production of LLM requests for web querying and content retrieval via the Google API;
- production of LLM requests for web querying and content retrieval via the Google API;
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- recursive chunking via tokens;
- recursive chunking via tokens;
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- data visualization and the function to load embeddings from a FAISS index, reduce their dimensionality using PCA and/or t-SNE, and visualize them in an interactive 3D graph;
- data visualization and the function to load embeddings from a FAISS index, reduce their dimensionality using PCA and/or t-SNE, and visualize them in an interactive 3D graph;
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- the creation of binary indexes for search with scalar (int8) rescoring. 
- the creation of binary indexes for search with scalar (int8) rescoring. 
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Link to GitHub: 
Link to GitHub: 
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https://github.com/louisbrulenaudet/ragoon
https://github.com/louisbrulenaudet/ragoon
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Link to the 🤗 Space: 
Link to the 🤗 Space: 
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https://huggingface.co/spaces/louisbrulenaudet/ragoon
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louisbrulenaudet/ragoon
https://huggingface.co/spaces/louisbrulenaudet/ragoon
🚀 RAGoon is now available on PyPI, GitHub, and as a Space on Hugging Face for batched embeddings generation 🤗

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.

At this stage, 5 major classes are available via RAGoon to facilitate:
- the production of chain embeddings for several models to simplify a continuous deployment process;
- production of LLM requests for web querying and content retrieval via the Google API;
- recursive chunking via tokens;
- data visualization and the function to load embeddings from a FAISS index, reduce their dimensionality using PCA and/or t-SNE, and visualize them in an interactive 3D graph;
- the creation of binary indexes for search with scalar (int8) rescoring. 

Link to GitHub: https://github.com/louisbrulenaudet/ragoon
Link to the 🤗 Space: https://huggingface.co/spaces/louisbrulenaudet/ragoon
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