Xyne is an open-source, AI-first search and answer engine designed to streamline workplace information retrieval. It integrates seamlessly with various applications such as Google Workspace, Atlassian Suite, Slack, and GitHub, securely indexing data to create a comprehensive knowledge graph. This enables users to efficiently locate files, manage issues, and access up-to-date answers with source references, all while adhering to existing organizational permissions. Key Features and Functionality: - Open Source and Self-Hosted: Licensed under Apache 2.0, Xyne can be deployed on laptops, on-premises servers, or cloud environments, offering flexibility and control. - Model Agnostic: Compatible with any Large Language Model (LLM) of choice, including local models via platforms like Ollama, preventing vendor lock-in. - Privacy and Security: Ensures no training on user data or prompts, with no telemetry on usage, maintaining strict privacy standards. - Permissions-Aware: Enforces existing application permissions in real-time, ensuring users access only the information they are authorized to view. - High Performance: Features multi-threaded data ingestion for efficient processing and retrieval. Primary Value and User Solutions: Xyne addresses the challenge of fragmented workplace information by providing a unified platform that connects and understands data across multiple applications. By mapping relationships between knowledge, people, communications, and projects, it offers a Google-like search experience combined with ChatGPT-style answers, enabling users to quickly find relevant information, triage issues, and make informed decisions. This enhances productivity and ensures that teams have access to accurate, up-to-date information within the boundaries of organizational governance.