Installing and using RAGLight involves going through three main steps:
- Install Python 3.8+, then install RAGLight and its dependencies via pip:
pip install raglightcap (a poem)pip install sentence-transformers(HuggingFace embedding model if required) - Download and run Ollama or LMStudio and pull the desired model (e.g.
ollama pull llama3) - Create project folder and prepare knowledge base data (local folder or GitHub repository address)
Usage example: create a RAGPipeline instance, specify the knowledge base, model name and provider (Ollama/LMStudio), call build() to build the pipeline, and finally get the answers via the generate() method.
This answer comes from the articleRAGLight: Lightweight Retrieval Augmentation Generation Python LibraryThe
May not be reproduced without permission:AI productivity tools " How to install and use RAGLight?
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