Onyx is an enterprise-grade AI platform designed for knowledge management, search, and autonomous agent orchestration. It functions as a centralized system that aggregates unstructured organizational data, enabling secure, context-aware retrieval and interaction across internal documents and communication history. By integrating retrieval-augmented generation with multi-model orchestration, the platform provides a unified interface for teams to query internal knowledge bases and execute complex, multi-step business processes.
The platform distinguishes itself through a focus on private infrastructure and strict security, allowing organizations to deploy services on-premise or in isolated containers to meet data residency requirements. It features a modular data connector framework that indexes information from disparate third-party applications, ensuring that all search and chat interactions adhere to existing role-based access controls. Furthermore, the system supports agentic workflows that decompose complex research requests into parallel sub-queries, synthesizing evidence-based responses from both internal data and live web research.
Beyond its core search and retrieval capabilities, the platform includes tools for managing the full lifecycle of AI integration. This includes administrative oversight for team collaboration, benchmarking and cost analysis for various language models, and the ability to configure specialized agents with unique instructions and tool access. Users can interact with these capabilities through a web interface, integrated messaging platforms, or a dedicated desktop application.
