Onyx
FreemiumOpen-source AI chat with deep research and RAG for enterprise teams.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 6d ago
77/100Safe BetIn short
Onyx — Open-source AI chat with deep research and RAG for enterprise teams. Best for Enterprise teams needing secure, self-hosted AI chat grounded in internal knowledge, Engineering teams wanting a customizable AI platform with API access and open-source code, Sales and support teams needing instant access to product, customer, and documentation data. Free to start; paid plans from $20/mo.
Is Onyx actually worth it?
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Editorial Verdict
Best for
Enterprise teams needing secure, self-hosted AI chat grounded in internal knowledgeEngineering teams wanting a customizable AI platform with API access and open-source codeSales and support teams needing instant access to product, customer, and documentation dataOrganizations with strict data sovereignty requirements that prefer on-premise deploymentTeams that want to leverage any LLM (open-source or proprietary) with flexible configuration
Not ideal for
Individual users without a team or organizational accountTeams seeking a fully managed SaaS with no self-hosting option (though cloud is available)Users who need mobile native apps (only web and Slack interaction)Teams wanting a simple out-of-the-box chatbot without deep customization or API accessNon-technical teams that cannot manage self-hosting or require extensive setup support
Onyx is a top-tier open-source enterprise AI chat for teams that need grounded answers with deep customization. Its self-hosting option and support for any LLM make it ideal for security-conscious orgs, but non-technical teams may find setup complex.
Compare with: Onyx vs HeadshotGenerator.io, Onyx vs Anakin.ai
Last verified: July 2026
What's new in Onyx
Checked 6 days agoAcross the latest 4 updates: 4 feature updates.
FeatureBlog·28 days agoNewest
On The Intrinsic Knowledge Retrieval Scaling Challenge
Study on how corpus scaling affects retrieval recall (semantic search and BM25).
FeatureBlog·Apr 7
Are File Systems All You Need? It Depends...
Evaluation of hybrid search vs file search on 160k-510k enterprise documents.
FeatureBlog·Feb 19
Benchmarking agentic RAG on workplace questions
Onyx outperformed ChatGPT Enterprise, Claude Enterprise, and Notion AI in RAG benchmark.
FeatureBlog·Feb 17
Lessons from building the best Deep Research (and how you can build better agents)
Behind-the-scenes look at building the #1 Deep Research system.
What independent users actually report about Onyx
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
64 mentions across 4 sources (Hacker News, Product Hunt, App Store, Lemmy).
25% positive75% critical
Recurring strengths
- +Open-source with self-hosting option for data sovereignty.
- +Hybrid search and LLM-based knowledge graphs improve answer accuracy.
- +Multi-step deep research and agentic capabilities are ambitious.
- +Slack integration allows bot-per-channel for team collaboration.
- +Supports all major LLM providers, avoiding vendor lock-in.
Recurring frustrations
- −Almost no community discussion exists to validate any claims.
- −Name collision with 5+ unrelated products muddles search results.
- −No real user reviews for reliability, uptime, or performance.
- −Support responsiveness and quality are completely unknown.
- −Learning curve may be steep for teams new to self-hosted RAG.
Patterns worth knowing
Massive name collision drowns out the AI platform's signal
Seen on Hacker News, Product Hunt, App Store, Lemmy
No substantive feedback exists for the enterprise AI tool
Seen on Hacker News, Product Hunt, App Store, Lemmy
The sports betting Onyx app receives overwhelmingly negative reviews
Seen on App Store
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
- • No hidden costs reported because no user feedback exists
- • Self-hosting requires infrastructure and ops effort
Viability Score
77/100
Safe BetHow likely is Onyx to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Deep research (multi-step agentic research)
- Model Context Protocol (MCP) / OpenAPI actions
- Code interpreter (sandboxed Python execution)
- Web search integration
- Image generation
- Hybrid search (semantic + BM25)
- Advanced RAG with contextual retrieval
- LLM-based knowledge graphs
- Slack integration (bot per channel)
- Custom AI agents with instructions and knowledge
- Query history and usage dashboards
- Granular RBAC with permission inheritance
- Self-hosted deployment
- SOC 2 Type II and GDPR compliance
About Onyx
FreemiumIntermediateAPI availableWeb · API · CLI
Onyx is an open-source AI platform that lets teams build custom AI assistants grounded in their own documents, apps, and people. It combines hybrid search (semantic + BM25), advanced RAG, contextual retrieval, and LLM-based knowledge graphs to deliver accurate, cited answers. Beyond Q&A, Onyx supports deep research (multi-step agentic research), MCP/OpenAPI actions, a sandboxed code interpreter, web search, and image generation. The platform is modular, supports all major LLM providers, and offers both cloud and self-hosted deployment with SOC 2 Type II and GDPR compliance. Compared to alternatives like ChatGPT Enterprise or Glean, Onyx offers greater customization, open-source transparency, and the ability to run on your own infrastructure.
Behind the Verdict
Onyx hits the sweet spot for organizations that want AI chat without vendor lock-in. With 20k GitHub stars and adoption by 1,000+ teams including Ramp, it's proven in production. The hybrid search and LLM knowledge graph give it an edge in answer reliability—Onyx claims a 64% win rate over ChatGPT on internal documents. The deep research and code interpreter features turn it into an agentic copilot. Where you might hesitate: if you prefer a fully managed SaaS with zero setup, the cloud option is fine but self-hosting requires DevOps chops. Compared to Glean, Onyx is cheaper (free tier exists) and more transparent, but Glean has more out-of-the-box connectors and polished UX. Best for engineering-heavy teams; less ideal for small teams seeking an instant chatbot.
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Use Cases
- Answer employee questions using internal documentation and Slack conversations.
- Summarize long threads and channels to quickly get up to speed on topics.
- Generate code snippets and review writing with access to company codebases.
- Close deals faster by retrieving every conversation and product update instantly.
- Create custom AI agents for different departments with tailored instructions and knowledge.
Models Under the Hood
GPT-4oClaude SonnetLlama 3.1GeminiAny LLM via API
Limitations
- Onyx has gated features between Business and Enterprise plans (e.g., SSO, on-premise deployments, white-labelling are Enterprise-only).
- The free trial is cloud-based and limited to 14 days.
- Self-hosted deployments require infrastructure management.
- No native mobile app is available; integration is via web or Slack.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
$240 / user
Over 12 months, per user
Effective monthly
$20 / user
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Frequently Asked Questions
Tools that pair well with Onyx
Common stack mates teams adopt alongside Onyx, with the specific reason each pairing earns its keep.
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