louisbrulenaudet/ragoon
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
RAGoon helps natural language processing (NLP) practitioners improve how language models understand and generate text. It takes your raw text data and, using various AI models, turns it into numerical representations (embeddings). These embeddings are then used to find relevant information from your data or the web, which is fed back to the language model to produce more accurate and contextually rich responses.
Use this if you need to enhance your language models' performance by providing them with highly relevant, search-based context from your own datasets or the internet, especially for complex queries.
Not ideal if you're looking for a simple, out-of-the-box chatbot solution without needing to customize or manage underlying embedding and retrieval processes.
Stars
70
Forks
7
Language
Jupyter Notebook
License
Apache-2.0
Last pushed
Nov 17, 2025
Commits (30d)
0
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