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ragoon discussion
ragoon reviews and mentions
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RAGoon is now available on PyPI, and on HF 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.
Link to GitHub: https://github.com/louisbrulenaudet/ragoon
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RAGoon: Improve Large Language Models retrieval using dynamic web-search
RAGoon is a Python library that aims to improve the performance of language models by providing contextually relevant information through retrieval-based querying, web scraping, and data augmentation techniques. It offers an integration of various APIs, enabling users to retrieve information from the web, enrich it with domain-specific knowledge, and feed it to language models for more informed responses.
RAGoon's core functionality revolves around the concept of few-shot learning, where language models are provided with a small set of high-quality examples to enhance their understanding and generate more accurate outputs. By curating and retrieving relevant data from the web, RAGoon equips language models with the necessary context and knowledge to tackle complex queries and generate insightful responses.
Link to the GitHub : https://github.com/louisbrulenaudet/ragoon
Here's an example of how to use RAGoon:
from groq import Groq
Stats
louisbrulenaudet/ragoon is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of ragoon is Jupyter Notebook.
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