Onyx is an enterprise AI interface that combines chat with internal search against connected knowledge sources and optional agent capabilities. Onyx’s documentation describes it as a natural‑language interface that integrates with your knowledge and applications, with core features including internal search, agents, and actions.
Onyx relies on a Large Language Model of your choice, either cloud-hosted or locally-hosted. When used with a locall-hosted LLM, Onyx talks to no external source, and can even operate in air-gapped environment.
Teams struggling with long learning curve because knowledge is scattered across tools
Engineering/product teams drowning in design docs, tickets, PRs, Slack, Confluence, SharePoint
Internal support/service desks
Security-conscious organisations that want internal AI but don’t want “everyone pasting into ChatGPT”
People can’t find “the latest” policy/process/decision and keep using stale PDFs
You want internal AI search but your security team says “not in the cloud”
You’re paying for an AI tool and leadership asks “where’s the value?”
You’ve had a near-miss (wrong summary, wrong email, wrong decision support)
A working Onyx deployment connected to your real tools so people can:
search + chat against internal sources with citations
use role-appropriate prompts (not prompt theory)
measure whether answer quality and time-saved are real
Onyx deployed (Docker or Kubernetes) in your environment
2–4 sources connected (your choice; we keep scope tight)
Search + chat tuned for your use cases (retrieval settings + prompt templates)
Evaluation harness: test set, success criteria, baseline vs improved results
Runbook + handover: how to operate it, what to harden next, what to monitor
Go/No-Go recommendation: whether to scale, and what will block scaling
Days 1–2: scope, sources, success metrics, access constraints, stakeholder interviews
Days 3–7: deploy + connect sources; iterate on retrieval and answer quality
Days 8–12: evaluation; hardening notes; safe-use + governance guidance
Days 13–15: handover session; runbook walkthrough; next steps
Ideally, to complete Onyx Implementation Planning 1-day workshop that would clarify all the requirements. Alternatively:
30–45 minutes with a sponsor + an owner for coordination
Read access to target sources (and permission to index a limited subset)
Your constraints: cloud allowed? self-host required? air-gapped? approved LLM endpoint?
10–20 real questions/tasks used to test success (not “generic AI demo” questions)
Onyx Community Edition is enough for a first proof-of-value. Once completed and you decide to proceed to implementation, you will need enterprise features like Role-Based Access Control. That can be available from Onyx Enterprise Edition, or from some of the other enterprise-grade platforms. It would require more effort and more funds - however by that time you would have confidence in what you need and how you want it achieved.
Not a knowledge management transformation
Not “rewrite all your documentation”
Not a multi-month platform implementation
Not a vendor pitch deck or a generic demo