Run a fast and private RAG app on your device.
Build an offline-first chatbot that answers user queries with accuracy.
With 97% storage savings, your device won't run out of space, ensuring your chatbot stays online.
"A founder wants to build a chatbot for their company's website. They install LEANN, add their company's knowledge base to the app, and then deploy it to their self-hosted server. After a 30-minute setup, the chatbot is live, answering user queries quickly and accurately without draining device resources."
When you're just starting to learn about AI and RAG, this skill is a great place to begin.
When you need a high-performance RAG app that can run offline and won't consume too much storage space, this skill is a top choice.
Note that while LEANN offers a high degree of customization, it still requires some basic technical know-how to set up effectively.
LEANN allows you to run a fast and accurate Retrieval-Augmented Generation (RAG) application with significant storage savings, making it possible to deploy AI models on personal devices while maintaining privacy
python -m leann.run --model-name my_rag_model --dataset my_dataset --storage-size 0.03
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