Xyne: Intelligent Search & Q&A Tool for Daily Office Work 105

Xyne is an intelligent search and Q&A tool designed for daily office work. Xyne integrates various types of work data, enabling you to efficiently search across files, emails, chat histories, applications, and other tools, while providing intelligent answers. You can use Xyne to help find files, look up customer/project information, and locate problem solutions. It can also connect with commonly used workplace tools such as Google Workspace, Atlassian, Slack, GitHub, and Zendesk, offering users convenient information retrieval and intelligent answering capabilities, providing a search experience similar to "Google + ChatGPT". Xyne supports both local and cloud deployment, works with multiple models, and supports multi-threaded data ingestion.

Xyne Core Features:

• Multi-app Connection & Data Indexing: Xyne can connect with various commonly used enterprise applications, such as Google Workspace, Atlassian suite, Slack, GitHub, etc., securely indexing data to provide comprehensive search capabilities.

• Relationship Graph Construction: By building a relationship graph, Xyne delivers a search experience similar to "Google + ChatGPT", helping users quickly find the information they need.

• Open Source & Flexible Deployment: Xyne is fully open source under the Apache 2.0 license and supports self-hosted mode, which can be deployed on laptops, local servers, or in the cloud, meeting the needs of different enterprises.

• Model Agnosticism: Xyne supports integration with any large language model (LLM), whether through cloud service providers or locally run Deepseek models, providing flexible ai capabilities.

• Privacy & Security: Xyne commits not to use user data for training, nor to track user behavior, ensuring all information remains strictly confidential.

• Permission Awareness: Xyne respects the permission settings of existing applications, ensuring users can only access content they are authorized to view, thereby protecting sensitive information security.

• High-performance Data Processing: Using multi-threaded data ingestion technology, Xyne can efficiently process large amounts of data, meeting enterprise demands for speed and efficiency.

• Personalized Workflows: Xyne provides enterprises with an organizational operating system (OrgOS) that can customize AI-driven internal applications and workflows based on specific team needs.

• Boosted Productivity: By quickly retrieving accurate information, Xyne helps teams focus on more important tasks, reducing unproductive time consumption.

How to Use Xyne?

1. Clone the project locally:

git clone https://github.com/xynehq/xyne.git

2. Deploy using Docker:

docker-compose -f deployment/docker-compose.yml up -d

Xyne Application Scenarios:

• Core Business Information Query: Quickly retrieve customer and project information to improve business response speed.

• Document and Email Retrieval: Efficiently find historical documents and communication records, simplifying the information lookup process.

Xyne is more than just a search engine—it is an open, modular, and extensible workplace AI platform. By enhancing contextual retrieval, it provides AI models with search, memory, and tool support, redefining how workflows can be intelligently optimized.

GitHub:https://github.com/xynehq/xyne