Open Source · 3 Live Instances · Free Forever

Your knowledge base.
Your server.
No subscriptions.

Stop paying per seat for a document repository. QHub Wiki AI is a self-hosted wiki with semantic AI search built in - unlimited users, $0/month. Your data stays on your server by default.

License: MIT
Stack: WikiJS · Qdrant · Ansible
LLM: Claude / OpenAI / Openrouter
Deploy time: ~30-45 min
bash — qhub-wiki
# Clone and deploy in 3 commands $ git clone https://github.com/intelliconnect/qhub-wiki $ cd qhub-wiki && cp .env.example .env # Add your LLM API key to .env (Claude, OpenAI, or Groq) $ ansible-playbook deploy.yml ▸ Installing WikiJS... ✓ done ▸ Starting Qdrant vector DB... ✓ done ▸ Configuring LLM connector... ✓ done ✓ QHub Wiki AI is live at http://wiki.company.com Unlimited users · All data stays on your server · $0/month
// Live deployments — production
IntelliconnectQ Internal
Engineering knowledge base
Bespoke Garment Manufacturing Co
Production ops · S.E Asia
ZapConnectHub
Logistics aggregator platform · Asia

// What it is

AI answers from your own knowledge. Instantly.

Your team's operational knowledge is scattered across docs, chats, and people's heads. QHub Wiki unifies it into a searchable, AI-queryable base - accessible via a Chrome extension from any tab, any device.

// Built by IntelliconnectQ for our own ops.
// Open-sourced because the problem is universal.
Chrome extension - ask from any tab
No need to open a dashboard or navigate to the wiki. Type your question in the extension. Get the answer instantly from your own knowledge base.
Qdrant vector search - semantic, not keyword
"How do we handle returns from EU customers?" finds the right doc even if it doesn't contain those exact words. Semantic search powered by local vector embeddings.
Your data. Your server. Full sovereignty.
You own your data and knowledge base. Ideal for SMB, dept in enterprises.
Markdown-first - future-proof content
Industry-standard Markdown with frontmatter, code blocks, and diagrams. Optimal for LLM retrieval. Portable across AI platforms as the ecosystem evolves.

// Architecture

Four components. One command to deploy.

01
WikiJS
Content layer
Markdown-first wiki with Git storage backend. Your team writes and edits docs here. Supports frontmatter, diagrams, code blocks, version history.
open source · MIT
02
Qdrant
Vector search
Fast, local vector database. Content is embedded on write and indexed for semantic retrieval. No external search API — everything runs on your server.
open source · Apache 2.0
03
QHub Extension
Browser interface
Chrome extension that queries your knowledge base from any tab. Type a question, get an AI-synthesised answer with source citations. No new app to learn.
custom-built · IQ Analytics
04
LLM Connector
AI synthesis layer
Connects to your LLM API key. Claude (recommended) or OpenAI for best results.The LLM synthesises answers from retrieved chunks — it never stores your data.
Claude · OpenAI · Openrouter

// vs. the alternatives

Why teams switch to QHub

Feature QHub Wiki AI C* N* G*
Monthly cost (50 users) $0 $275+/mo $400+/mo $500+/mo
Self-hosted / data sovereign ✓ always ✗ cloud only ✗ cloud only ✗ cloud only
AI semantic search ✓ built-in ✗ add-on $$$ ✓ limited ✓ basic
Browser extension query ✓ chrome ext
Unlimited users ✓ no per-seat ✗ per seat ✗ per seat ✗ per seat
Markdown-first / portable ✓ always ✗ proprietary partial
LLM choice (Claude / GPT / Openrouter) ✓ your key ✗ vendor lock ✗ GPT only ✗ vendor lock
Open source / auditable ✓ MIT

// Live deployment patterns

How teams are using QHub today

Manufacturing · Operations
Supplier & production knowledge base
Centralised operational docs for production tracking, supplier SOPs, and quality procedures. Teams query from the shop floor without opening a browser. "How do we handle Supplier X's return policy?" — answered in seconds.
Live · S.E Asia
Logistics · Platform
ZapConnectHub - internal ops knowledge
Logistics aggregator platform using QHub as the internal knowledge layer for their ops team. Shipping rules, carrier policies, exception handling - all queryable via Chrome extension by dispatchers and account managers.
Live · Asia
Technology · Internal
IntelliconnectQ engineering base
Our own deployment - architecture decisions, client runbooks, deployment guides, AI agent configurations. Used daily by the engineering and delivery team. This is the instance we dogfood every feature on before releasing.
Live · USA | India

// Installation options

Self-install free. Or we do it for $299.

Requires: Github, DNS Configuration, Docker, Ansible, and a paid LLM API key. If that's not your world - we can handle everything.

Self-install
For teams with DevOps capability
Free
MIT license
1
Compile and configure pre-requisites
2
Clone the GitHub repo
3
Copy .env.example → .env, update LLM API key and other configurations
4
Run ansible-playbook deploy.yml
5
Install Chrome extension from /extension folder
6
Add your existing docs and start querying
Clone on GitHub →
Community support via GitHub Issues

Get QHub running in 30-45 minutes.
Without touching a terminal.

We've deployed this on AWS, Azure, GCP, and bare-metal Linux servers. You tell us where, we handle the rest. Flat fee. No surprises.

Full WikiJS + Qdrant setup on your infrastructure
LLM API connection configured (Claude, OpenAI, or Openrouter)
Chrome extension installed and connected to your instance
30-min handover call with your team
30 days of email support post-install
Satisfaction guarantee - works or we fix it free
// Value equation
Dream outcome: AI answers from your own docs, in seconds
Certainty: 3 live instances. We've done this.
Time delay: Same day or next business day
Effort from you: 5 fields + one call + Pre-configuration/Access + Handover
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Request managed install

Response within 24 hours.

No payment until install is confirmed and scheduled.
We respond within 24 hours — usually same day.

// Coming soon from IntelliconnectQ

More open source tools in the pipeline

Same philosophy: built for our own ops first, open-sourced when ready. Subscribe for early access.

Q2 2026
Invoice Reconciliation Agent
Drop-in AI agent for supplier invoice matching. Currently in live POC with a manufacturing client - reconciling 10 suppliers automatically. Open-source guide when POC completes.
Q2 2026
Employee Lifecycle Starter Kit
MS Graph + Power Apps templates and/or Custom Forms for automated onboarding and offboarding. License allocation, department alerts, access removal. Based on our live MSP deployment.
Q4 2026
PLANNED. OpenClaw Skills for Manufacturing, Logistics & Data-driven organizations
Open-source multi-agent AI orchestration layer for enterprise workflows. Skills-based routing, Claude + OpenAI compatible. What we use internally for agentic AI deployments.
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// IQ Analytics Venture · Tech Partner & Shareholder
ZapConnectHub
A logistics aggregator platform — where IntelliconnectQ Analytics is the technology partner and shareholder. We're building the AI infrastructure: agentic shipment management, real-time carrier intelligence, and the knowledge layer (powered by QHub Wiki). This is us building product, not just consulting.
Currently in build · Agentic AI for logistics management
Learn more →