LEANN

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LEANN is an open-source tool for building Retrieval-Augmented Generation (RAG) applications. It enables fast, accurate, and private RAG on personal devices with significant storage savings.

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At a glance

Pricing

open-source

Free tier

Yes

API

—

Skill level

Technical

About

What is LEANN?

LEANN is an open-source solution designed for developing Retrieval-Augmented Generation (RAG) applications. It prioritizes privacy and efficiency, allowing users to run RAG applications directly on their personal devices. A key advantage of LEANN is its ability to provide fast and accurate results while offering significant storage savings. This tool is specifically built for local AI development, catering to those who need to maintain data privacy and control over their RAG implementations.

Best used for

Building and running private, fast, and storage-efficient Retrieval-Augmented Generation (RAG) applications directly on personal devices.

Common actions

Build RAG applications

Run AI locally

Ensure data privacy

Optimize storage

Develop AI tools

collaborationautomated workflowworkflowsdeepfakelow-code/no-codeface swapping"AI Agents"github copilotopen-source

Capabilities

Key features

Open-source RAG
Local device execution
Private RAG
Storage savings
Fast and accurate

Target Audience

AI DevelopersResearchersPrivacy-conscious usersIndividuals

Integrations

Not yet documented

Pricing & Plans

open-source

Free

FAQs

Does LEANN require an internet connection to function after initial setup?

No, LEANN is designed for local device execution, meaning that once the necessary models and data are set up, it can operate entirely offline, ensuring data privacy and continuous access.

What are the typical hardware requirements to run LEANN effectively on a personal device?

While LEANN is optimized for efficiency, performance will vary based on the size of your RAG models and data. A device with a decent CPU, sufficient RAM (8GB+ recommended), and adequate storage for your local data is generally suitable.

Can LEANN be integrated with custom or proprietary large language models (LLMs)?

Yes, as an open-source RAG solution, LEANN is built to be flexible. Users can integrate and experiment with various LLMs, including custom or proprietary ones, as long as they are compatible with the RAG framework.

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