An Onyx alternative
you don't have to host yourself

Managed RAG-as-a-service

Onyx is open-source enterprise search you deploy on your own infrastructure -- Docker, Vespa, PostgreSQL, Redis, and your own LLM keys. Context Link gives your team the same core benefit, AI that knows your business, inside ChatGPT, Claude, Gemini, and Copilot. No servers, no DevOps, no infrastructure to babysit.

Context Link
VS
Onyx
At a Glance

Key Differences

1

Onyx is self-hosted enterprise search that needs Docker, 12+ CPU cores, 24 GB RAM, and ongoing DevOps to maintain

2

Context Link is fully managed -- no servers, no containers, no infrastructure to break at 2 a.m.

3

Onyx asks your team to work inside its own chat UI. Context Link runs inside ChatGPT, Claude, Gemini, and Copilot

4

Onyx requires you to bring your own LLM API keys. Context Link works with the AI subscriptions your team already has

5

Connect Notion, Google Docs, Google Drive, email, Basecamp, websites, and uploaded files in minutes -- not hours of Docker configuration

No New Tools

Use Your Existing AI

Getting context in ChatGPT
ChatGPT Get Context · ChatGPT
Getting context in Claude
Claude Get Context · Claude
Your Sources

With Your Existing Knowledge Sources

Sources: Google Docs
Google Drive
Notion
Basecamp Basecamp
Websites
Files
Email
Memories
Decision Time

Which Should You Choose?

Onyx and Context Link both give AI access to your company knowledge. They take fundamentally different approaches to getting there.

Onyx

Choose Onyx If...

  • You have a developer or DevOps engineer who can deploy and maintain a multi-container Docker stack
  • Data sovereignty is non-negotiable -- you need everything on your own servers, no exceptions
  • You want to customize the search pipeline, fork the code, or build on top of the platform
  • You need enterprise connectors like Salesforce, Jira, Confluence, or ServiceNow
  • You're comfortable managing LLM API keys, model servers, and infrastructure costs separately
Context Link

Choose Context Link If...

  • You're a team of 3-200 that uses AI every day and doesn't have DevOps capacity
  • You want your AI to know your docs without adopting another app -- just better context inside ChatGPT, Claude, Gemini, or Copilot
  • You need to connect Notion, Google Docs, Google Drive, email (Gmail, Outlook, Zoho, Fastmail, IMAP), Basecamp, websites, or uploaded files
  • You want to be set up today, not after a week of Docker troubleshooting
  • You want AI-owned Memories -- living documents your team's AI can save, retrieve, and update over time
Side by Side

Feature Comparison

Capability
Onyx Onyx
Context Link Context Link
Where you work Onyx's own chat UI (or Slack integration) Inside ChatGPT, Claude, Gemini, Copilot -- the AI tools you already use
AI model Bring your own -- OpenAI, Anthropic, or self-hosted (you manage API keys and costs) Model-agnostic -- works across any AI tool your team already pays for
Connectors 48 connectors, enterprise-focused (Confluence, Jira, Salesforce, Slack, Google Drive, etc.) Notion, Google Docs, Google Drive, email (Gmail, Outlook, Zoho, Fastmail, IMAP), Basecamp, any website, uploaded files (PDFs, Word, Markdown)
Setup time Hours to days (Docker deployment, OAuth config, LLM setup, infrastructure provisioning) Minutes (self-serve, no IT needed)
Pricing Free self-hosted (but you pay for infrastructure ~$150+/mo + LLM API costs) or $20/user/mo cloud + LLM costs SMB-friendly per-seat pricing, all-inclusive, no hidden infrastructure costs
Team size Built for enterprise teams with IT support Built for teams of 3-200
Memories (writable AI docs) No equivalent -- read-only search over existing documents AI-owned living documents under /slash routes -- save brand voice, approved claims, canonical facts
Best for Teams with DevOps capacity who need full control over their search infrastructure Giving your team's AI accurate company context, instantly, inside the tools they already use
Two Approaches

The Real Differentiation

Onyx

Onyx

Onyx is a genuine open-source RAG platform with serious engineering behind it. It connects to 48 enterprise tools, supports any LLM, and gives you full control over your data. But 'full control' comes with real costs: you need Docker, PostgreSQL, Vespa, Redis, model servers, and someone to keep it all running. The baseline deployment needs 12 CPU cores and 24 GB of RAM. Users have reported Vespa consuming 42 GB on a 64 GB machine. For a 10-person marketing team, that's a lot of infrastructure for 'AI that knows our docs.'

Context Link

Context Link

Context Link takes the opposite approach. Instead of giving you infrastructure to manage, it gives you a managed service that runs inside the AI tools your team already uses -- ChatGPT, Claude, Gemini, Copilot. Connect your knowledge sources once (Notion, Google Docs, Google Drive, email, Basecamp, websites, uploaded files) and any team member retrieves context with 'get context on {topic}'. No servers, no Docker compose files, no 3 a.m. alerts when Vespa runs out of memory. Plus, Memories let you save canonical facts, brand voice, and approved claims as AI-owned living documents.

Onyx gives you infrastructure to manage. Context Link gives you a service to use.

No New Tools

Meet your team where they already work

Your team stays on the best AI tools for them — ChatGPT, Claude, Gemini, Copilot. Context Link upgrades every conversation with your company's actual knowledge. Easy adoption, zero workflow disruption.

ChatGPT
Ellie
(ChatGPT)
Claude
Joel
(Claude)
Bot
Marketing
agent 004
ChatGPT
Deep research
session
Website
Services page
Website
Blog posts
Google Docs
Proposal template
Notion
Pricing list 2026
PDF
Legals policy
Notion
Case studies
Google Docs
5-Step Growth Playbook
Website
About page
PDF
Brand guidelines
Notion
Onboarding flow
Google Docs
Quarterly review
Memory +
Keyword tracker
Memory +
New customer checklist
Memory +
Brand voice notes
Their Strengths

What Onyx Does Well What Onyx Does Well

Onyx is a real product built by a strong team (YC W24, backed by Khosla Ventures and First Round Capital, used by Netflix and Ramp). If you have the infrastructure capacity, these strengths genuinely matter.

1

Genuinely open source

The Community Edition is MIT-licensed. You can read every line of code, fork it, modify it, and run it entirely on your own servers. For teams with strict open-source requirements or regulatory constraints, this transparency is valuable.

2

Full data sovereignty

Self-hosted means your data never leaves your infrastructure. For defense contractors, financial services, healthcare, or anyone with strict data residency requirements, this is a real differentiator.

3

Model agnostic

Onyx works with OpenAI, Anthropic, Google, or self-hosted models via Ollama and vLLM. No vendor lock-in on the AI model layer -- you pick what works for your use case and budget.

4

48 enterprise connectors

Confluence, Jira, Salesforce, Slack, Google Drive, SharePoint, Zendesk, HubSpot, and many more. If your knowledge lives in enterprise tools, Onyx probably has a connector for it.

5

Permission-aware search

Onyx inherits access controls from your source systems. Users only see documents they're authorized to see -- important for organisations where not everyone should access everything.

Our Strengths

Context Link What Context Link Does Differently

1

No infrastructure to manage

Context Link is fully managed RAG-as-a-service. No Docker, no Vespa, no PostgreSQL, no Redis, no model servers. We handle indexing, chunking, embeddings, and retrieval so your team can focus on their actual work.

2

No new app to adopt

Runs inside ChatGPT, Claude, Gemini, and Copilot. Your team doesn't change their workflow -- they just get better context in the AI tools they already use every day.

3

No LLM keys to manage

Onyx requires you to bring your own LLM API keys and manage that cost separately. Context Link works with whatever AI subscription your team already has -- ChatGPT Plus, Claude Pro, Copilot. No separate API keys, no token budgets to track.

4

Connect the sources SMBs actually use

Notion, Google Docs, Google Drive, email (Gmail, Outlook, Zoho, Fastmail, custom domains via IMAP), Basecamp, any website via sitemap, uploaded files (PDFs, Word docs, Markdown). Onyx's connectors skew enterprise (Confluence, Jira, Salesforce) -- Context Link connects to the tools small teams run on.

5

Minutes to value

Connect your sources and start retrieving context the same day. No Docker troubleshooting, no OAuth configuration debugging, no waiting for Vespa to finish indexing. One person can set this up on a Tuesday afternoon.

6

Memories -- AI-owned living documents

Save brand voice, approved claims, product facts, and canonical definitions to /slash routes. One source of truth that every team member's AI can access and update. Onyx is read-only search -- it has no concept of writable AI memory.

7

SMB-friendly pricing

Built for teams of 3-200. No infrastructure costs to estimate, no LLM API bills to track separately, no 'free but actually $150/month in cloud compute' surprises.

8

Compounds over time

Every connected source and saved Memory makes every future AI conversation more accurate. Your AI gets smarter about your business the more you use it -- a compounding loop of better context, better outputs, better refinements.

Frequently Asked Questions

Is Context Link a direct replacement for Onyx?
They solve the same core problem -- giving AI access to your company knowledge -- but take very different approaches. Onyx is a self-hosted platform you deploy on your own infrastructure. Context Link is managed RAG-as-a-service that runs inside the AI tools you already use. If you're a team of 3-200 without DevOps capacity, Context Link gives you the core benefit without the infrastructure overhead.
Onyx is free and open source. Why would I pay for Context Link?
Onyx's Community Edition is free to download, but not free to run. You need cloud infrastructure (budget ~$150+/month for a basic VM), plus your own LLM API keys (another variable cost), plus someone with Docker and DevOps skills to deploy, maintain, and troubleshoot it. Context Link bundles all of that into a managed service with predictable per-seat pricing. For teams without dedicated infrastructure engineers, the total cost of ownership is often lower with a managed service.
What about Onyx's cloud plan at $20/user/month?
Onyx launched a managed cloud tier, but you still work inside Onyx's own chat interface (another app to adopt), you still need to bring your own LLM API keys (additional cost and configuration), and the enterprise features (SSO, white-labeling) require the enterprise tier with custom pricing. Context Link runs inside the AI tools you already use -- no new app, no separate LLM costs.
Can I use Context Link with ChatGPT AND Claude?
Yes. Context Link is model-agnostic. The same connected sources and Memories are available from ChatGPT, Claude, Gemini, and Copilot. Different team members can use different AI tools and still pull from the same knowledge base.
Onyx has 48 connectors. Does Context Link have enough?
Different connectors for different teams. Onyx connects to enterprise tools like Confluence, Jira, Salesforce, and ServiceNow. Context Link connects to the tools small teams actually use: Notion, Google Docs, Google Drive, email (including Zoho, Fastmail, and any IMAP provider -- not just Gmail), Basecamp, any website via sitemap, and uploaded files. If your critical knowledge lives in Confluence or Salesforce, Onyx may be a better fit. If it lives in Notion, Docs, email, and your website, Context Link has you covered.
How long does it take to set up?
Most teams are up and running in under an hour. Connect your sources (Notion, Google Docs, email, websites, etc.), optionally save a few Memories for canonical facts, and you're retrieving context from your next AI conversation. No Docker deployment, no infrastructure provisioning, no OAuth debugging.
What are Memories?
Memories are AI-owned living documents saved under /slash routes (like /brand-voice, /product-facts, /pricing). They're canonical sources of truth that any team member's AI can retrieve and update. Onyx is read-only search -- it can find your existing docs, but it can't save new knowledge for your team's AI to build on over time.
What about data sovereignty? Onyx lets me keep data on my own servers.
That's a genuine advantage of self-hosting. If regulatory requirements mandate that your data never leaves your infrastructure, Onyx (or a similar self-hosted solution) may be necessary. For most SMB teams, the operational cost of self-hosting outweighs the data sovereignty benefit. Context Link handles your data securely in the cloud, and you control exactly which sources are connected and what gets indexed.
Summary

The Bottom Line

Onyx

Onyx

Onyx is a serious open-source RAG platform backed by YC, Khosla Ventures, and First Round Capital. If you have a developer who can manage Docker deployments, need full data sovereignty, or want to customize the search pipeline at the code level, Onyx gives you that control.

Context Link

Context Link

Context Link is managed RAG-as-a-service for teams of 3-200. It runs inside the AI tools you already use, connects to the knowledge sources you already have, sets up in minutes -- not hours -- and doesn't ask you to run servers or manage API keys.

Quick Decision Guide

Your pain

I need full data sovereignty and the ability to customize the RAG pipeline at the code level

Solution

Onyx is the right choice

Your pain

I want my team's AI to know our company docs without deploying infrastructure or adopting another app

Solution

Context Link is the right choice

Your pain

I don't have a developer to maintain Docker containers, Vespa, and model servers

Solution

Context Link is the right choice

Get Started

Give Your AI the Context It's Missing

Starter

$9/month – 7-day free trial
  • Search all your sources by meaning, not keywords
  • Works with ChatGPT, Claude, Copilot & Gemini
  • Connect Google Drive, Notion, files, email, websites & more
  • Save AI outputs as reusable memories under any /slash
  • Private links with PIN protection
Start Your 7-Day Free Trial *Start for free, cancel any time

Pro

$19/seat/month – 7-day free trial
  • Everything in Starter
  • Connections auto re-sync every 48 hours
  • Higher source & page limits
  • Team support
Start Your 7-Day Free Trial *Start for free, cancel any time

No credit card required. No servers to provision. No Docker needed.