RAGLight aims to improve the contextual understanding of large-scale language models (LLMs) by combining document retrieval and natural language generation technologies. Its lightweight and modular nature makes it particularly suitable for developers to rapidly build context-aware AI applications while supporting multiple language models, embedded models and vector stores. Pairing with Ollama or LMStudio ensures localized deployment possibilities, making it ideal for privacy- and cost-sensitive projects.
This answer comes from the articleRAGLight: Lightweight Retrieval Augmentation Generation Python LibraryThe
May not be reproduced without permission:AI productivity tools " RAGLight is a lightweight, modular Python library designed to implement Retrieval Augmented Generation (RAG)
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