Onyx AI Review 2026: Enterprise Search, Security, Pricing, and Fit
A research-based Onyx review covering capabilities, pricing, privacy, limitations, and a fair buyer test.
Bottom line
Onyx connects workplace repositories to cited search, chat, and agents with source permissions, but connector coverage, ACL fidelity, retrieval quality, and deployment ownership need a controlled pilot.
Editorial accountability
Who checked this guide
- Evaluation type
- Hands-on evaluation
- Last materially checked
- Evidence
- 4 listed sources
Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.
Review evidence
What this guidance is based on
- Editorial basis
- Current first-party product, pricing, documentation, privacy, security, and license material
- Review type
- Research-based product assessment
- Material review date
- September 1, 2026
- Buyer test
- Controlled workflow test with evidence, correction, cost, permission, privacy, and ownership checks
Important limits
- • DiscoverAI did not complete the proposed long-term paid deployment for this research-based review.
- • Features, prices, limits, security controls, privacy terms, licensing, and provider data paths can change; verify the linked first-party pages before purchase.
In this guide
Short answer
Onyx is worth evaluating for organizations that need cited search across Slack, Google Drive, Confluence, Jira, SharePoint, and other internal systems without forcing employees to hunt repository by repository. Its strongest promise is permission-aware retrieval. The deciding evidence is whether source ACLs remain correct during adds, removals, group changes, and connector failures.
Best for
- Organizations with fragmented internal knowledge
- Teams requiring permission-aware search
- Technical buyers wanting a self-hosted option
Look elsewhere if
- Teams without a connector and security owner
- High-stakes answers without source review
- Buyers expecting zero-configuration governance
What Onyx verifiably does
Official materials describe enterprise search, cited chat, deep research, agents, more than 30 connectors, document-level permission syncing, SAML or OIDC identity, SCIM provisioning, role controls, self-hosting, and managed deployment. Teams can connect approved models and knowledge sources while keeping a shared employee interface.
Important limitations
Enterprise search can retrieve stale, duplicated, or permission-inappropriate content. Connector outages and delayed ACL updates create real exposure risk. Self-hosting transfers patching, backups, encryption, model routing, observability, and incident response to the buyer. Generated answers still require source inspection, especially for policy or customer decisions.
Pricing snapshot
Onyx publishes its core enterprise-search project for self-hosting, while managed and enterprise packaging is sales-led rather than represented by a stable public dollar table. Self-hosters still pay for infrastructure, models, storage, connectors, monitoring, upgrades, and support. Confirm current commercial terms before purchase. Reviewed September 1, 2026.
A fair buyer test
Create a synthetic corpus across three repositories with conflicting versions, revoked users, nested groups, sensitive decoys, and known answers. Run 100 queries and record recall, citation accuracy, stale-source selection, forbidden retrieval, ACL update latency, connector failure behavior, deletion, model data paths, and operator hours.
Final verdict
Onyx earns a shortlist for technically owned, permission-sensitive knowledge search. Pilot one bounded department first and make ACL fidelity, evidence quality, and recovery—not demo fluency—the acceptance gates.
This is a research-based assessment, not a claim of hands-on product testing. Product, pricing, privacy, security, licensing, and usage claims were checked against the first-party sources below on September 1, 2026. Verify current terms and run the proposed test with approved data before adoption.
Sources and verification
Product details and claims were checked against the following primary sources.
Frequently asked questions
Is Onyx AI open source?
Yes. Onyx publishes a self-hosted open-source edition; commercial managed and enterprise services are separate.
Does Onyx preserve document permissions?
Onyx says it syncs source ACLs and document permissions. Buyers should test revocation and group-change latency against their own connectors.
How much does Onyx cost?
A stable public managed-service price table was not available in the reviewed official material. Self-hosting has infrastructure and model costs; enterprise terms require confirmation.
Can Onyx run with private models?
Its self-hosted and enterprise materials support buyer-controlled deployment and model choices, but every configured provider must be mapped.
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Open-source deployment path
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