“Onyx is answering thousands of questions a week at Ramp. We tried a variety of other AI tools but none had the same answer reliability as Onyx. — Tony Rios, Director of Product Ops, Ramp”
You know that feeling when you KNOW the answer exists somewhere — in a Slack thread from 3 months ago, a Confluence page you can't find, or a Google Doc someone shared last year — but you spend 30 minutes digging and still come up empty? Your company's knowledge is scattered across 50+ tools, search bars are useless, and you end up asking the same questions in Slack over and over. New hires spend weeks just figuring out where information lives.
Onyx connects to your workplace tools (Slack, GitHub, Google Drive, etc.) and indexes everything into a unified search system. When you ask a question, it uses hybrid search — combining keyword matching with vector embeddings — to find relevant documents, then feeds those to an LLM to generate an answer with citations. Think of it like this: instead of searching each app separately, you have one assistant who has read everything and can synthesize answers across all your sources. The permission system ensures you only see results from documents you actually have access to.
If you're an engineer who spends too much time hunting for documentation, or a team lead tired of answering the same questions repeatedly, this is for you. Perfect for companies with knowledge scattered across Slack, GitHub, Google Drive, and Confluence. Not useful if you're a solo developer or your team uses fewer than 5 tools — the overhead isn't worth it.
Yes, if you need enterprise knowledge retrieval and want self-hosting. The benchmark wins are impressive (64-73% against major competitors), the $10M funding suggests staying power, and 25K+ GitHub stars indicate real community traction. Production-ready with companies like Ramp already using it at scale. Start with Onyx Lite to test — you can spin it up in 10 minutes with Docker. Skip if you need Windows-first deployment (some connector issues reported) or if you're happy paying Glean's enterprise pricing.
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