As a fully open source project, RAGLight allows developers to freely use, modify and distribute the code. Its localized deployment feature is achieved by working with Ollama or LMStudio, where all data processing and model running is done in the user's local environment, which provides an ideal solution for enterprises or research institutes with strict data privacy requirements. This deployment not only avoids the cost of cloud services, but also ensures that sensitive data is not leaked, significantly reducing the compliance risk of AI integration projects.
This answer comes from the articleRAGLight: Lightweight Retrieval Augmentation Generation Python LibraryThe
May not be reproduced without permission:AI productivity tools " RAGLight supports localized deployment and is fully open source.
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