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Onyx AI Review 2026: Enterprise Search, Security, Pricing, and Fit

Open-source enterprise search and AI assistants across workplace knowledge

Recently checkedResearch BasedFreemiumResearchProductivity
Recently Updated

Advisor score

8.0/10

Documented editorial evaluation

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The decision

Should you choose Onyx?

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.

Best for

Organizations with fragmented internal knowledge; Teams requiring permission-aware search.

Choose something else if

Teams without a connector and security owner; High-stakes answers without source review

Evidence

Editorial research pending · 8.0/10

Pricing checked

See current vendor pricing · 2026-09-01

Free access is available, with limits.

Yes. The open-source edition can be self-hosted, subject to its current license and the buyer's infrastructure and model costs.

Visit OnyxReview pricing limits

Community choice

Recommend Onyx

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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.

Direct 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.

What to verify

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.

Personal Recommendation

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.

Try the recommendation

See whether Onyx belongs in your stack

Open-source deployment path

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Overall Score

8.0/10
Research Based
Last reviewed
Sep 1, 2026
Last updated
Sep 1, 2026

Editorial Review Framework

How Onyx scores

Recently Updated

Overall Score

8.0

Ease of Use

7.8

AI Quality

8.0

Features

8.4

Speed

8.0

Integrations

8.4

Value for Money

8.0

Customer Support

7.6

Learning Curve

7.4

Recommended For

  • Organizations with fragmented internal knowledge
  • Teams requiring permission-aware search
  • Technical buyers wanting a self-hosted option

Not Recommended For

  • Teams without a connector and security owner
  • High-stakes answers without source review
  • Buyers expecting zero-configuration governance

Recommended Because…

Open-source deployment path

Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.

Open the optional evaluation worksheet

Reusable trial worksheet

Test Onyx before you commit

Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.

0/7 checks complete

  1. Confirm the tool meets every must-have workflow and stakeholder requirement.

    Review starting point: Organizations with fragmented internal knowledge; Teams requiring permission-aware search; Technical buyers wanting a self-hosted option

  2. Run the same representative work you would use in production; do not score a polished demo.

    Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.

  3. Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.

    Review starting point: 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,…

  4. Define an acceptance threshold, test known answers and edge cases, and record every correction.

    Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.

  5. Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.

    Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.

  6. Test the real handoffs, permissions, failure states, and export path your team depends on.

    Review starting point: Slack, Google Drive, Confluence, Jira, SharePoint, GitHub

  7. Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.

    Review starting point: Commercial pricing is sales-led; Self-hosting creates substantial operations work; Retrieval quality depends on each corpus

Open Decision Workspace

Loading saved worksheet… · private to this device or your optional account

Product interface evidence

Visual evidence statusWhat we verified without a screenshot

Evaluation

Research-based

Price posture

freemium

Reviewed

2026-09-01

No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.

Pricing

Freemium
Free access
Yes. The open-source edition can be self-hosted, subject to its current license and the buyer's infrastructure and model costs.
Paid entry
Contact vendor or check current pricing
Billing and plan model
Open-source self-hosting plus managed and enterprise offerings
Material limits
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.

Editorial freshness

Recently checked

Pricing and material product claims were checked September 1, 2026.

Pros & Cons

Pros

  • Open-source deployment path
  • Broad workplace connector coverage
  • Permission-aware retrieval design

Cons

  • Commercial pricing is sales-led
  • Self-hosting creates substantial operations work
  • Retrieval quality depends on each corpus

Best For

Organizations with fragmented internal knowledgeTeams requiring permission-aware searchTechnical buyers wanting a self-hosted option

Community evidence

How verified users put Onyx to work

Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.

No approved community evidence yet. Be the first verified user to contribute.

Key Features

  • Enterprise search
  • Cited chat
  • Deep research
  • Agents
  • Document permissions
  • Identity provisioning

Integrations

  • Slack
  • Google Drive
  • Confluence
  • Jira
  • SharePoint
  • GitHub

FAQs

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.

Keep Deciding

Where to go next

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Onyx AI Review 2026: Enterprise Search, Security, Pricing, and Fit

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.

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Research

AI tools for cited answers, literature review, market research, and knowledge synthesis.

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