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Onyx AI
Open-source AI search & chat for enterprises
Table of Contents
Onyx AI - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
Onyx AI overview
What is Onyx AI?
Onyx AI is an open-source AI chat and enterprise search platform that connects organizational knowledge across 40+ app connectors, including Google Drive, SharePoint, Slack, Confluence, Jira, and GitHub. Available as a managed cloud service, self-hosted via Docker or Kubernetes, or deployed in fully air-gapped environments, it supports regulated industries including defense (FedRAMP, ITAR, CMMC), healthcare (HIPAA/FERPA), financial services, higher education, and government. SOC 2 Type II certified, with full data sovereignty options for organizations with strict data residency requirements.
The platform delivers hybrid keyword and semantic search via advanced retrieval-augmented generation (RAG), grounding AI responses in verified internal documents rather than general model knowledge. Custom AI agents can be configured with specific instructions, knowledge scopes, and actions, including MCP and OpenAPI integrations, web search enrichment, code interpretation, and image generation. Deep research mode supports parallel tool calling and agent orchestration for complex, multi-step queries. Role-based access control (RBAC) and permission inheritance mirror ACLs directly from connected sources in real time, with no manual re-indexing required. OIDC and SAML SSO are available for enterprise deployments, alongside white-labelling, embeddable chat widgets, and a desktop app for Windows, macOS, and Linux.
Onyx AI supports any LLM provider, including OpenAI, Anthropic, Azure, AWS Bedrock, and local open-weight models via LiteLLM, giving organizations full control over model selection and cost. The MIT-licensed codebase is fully auditable and extensible via developer APIs, hook extensions, and custom integrations. A free community edition is available with no feature restrictions, and published per-seat pricing carries no minimums or mandatory support fees. Usage analytics, audit trails, and query history dashboards support AI governance and compliance reporting across teams of any size.
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