LLM-RAG-Zotero

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Zotero Literature Library Integration for External Knowledge Base using RAG

LLM-RAG-Zotero 최신버젼 다운로드

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# Zotero Literature Library Integration for External Knowledge Base using RAG and Ragflow

## Project Overview

This project integrates the Zotero literature library as an external knowledge base for machine learning models utilizing Retrieval-Augmented Generation (RAG) technology, implemented through Python and Ragflow. It offers a robust solution for managing academic references, enabling users to effectively leverage their Zotero libraries in various applications. Key features include free access, duplicate removal, incremental processing, and automatic synchronization.

For more details and video guidance, please refer to: [Video Guide](https://www.bilibili.com/video/BV1ntAaeRETC/?spm_id_from=333.1387.homepage.video_card.click&vd_source=baada489582bbf847a6a36dd00fff036)

## Features

- **Free Access**: The method is open-source and free to use, making it accessible for researchers and developers alike.

- **RAG Technology**: By employing Retrieval-Augmented Generation, the system enhances the performance of machine learning models by providing them with up-to-date and relevant external knowledge from the Zotero library.

- **Built with Ragflow**: This project utilizes Ragflow to facilitate seamless integration and management of the knowledge base, ensuring efficient data retrieval and processing.

- **Duplicate Removal**: The system intelligently identifies and removes duplicate entries in the Zotero library, ensuring a clean and efficient knowledge base.

- **Incremental Processing**: Users can add new references to their Zotero library, and the system will automatically update the knowledge base without requiring a complete refresh.

- **Automatic Synchronization**: Changes made in the Zotero library are automatically synced with the external knowledge base, keeping the data up-to-date.

- **Executable Application**: After configuration, the application can be run with a single click for ease of use.

LLM-RAG-Zotero

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