Synchronize Knowledge.
Empower Conversations.
Connect your Outline wiki to a high-performance RAG pipeline. Deploy intelligent chatbots that answer questions with precision and speed.
- Log in to the internal portal using SSO credentials
- Complete the mandatory security training module
- Set up payroll information in the HR system
Everything you need for production RAG
Wiki Sync
Auto-sync from Outline with incremental updates.
Vector Search
Semantic retrieval with pgvector.
JWT Security
Secure iframe embedding with signed tokens.
Smart Chunking
Markdown-aware context preservation.
Source Citations
Traceable responses with wiki links.
Admin Dashboard
Full pipeline monitoring and testing.
How it Works
Connect
Link your Outline wiki.
Process
Chunk and embed content.
Retrieve
Semantic search on query.
Respond
Grounded LLM generation.
Embed anywhere in minutes
Secure, iframe-based integration with JWT authentication. No complex SDKs or heavy dependencies required.
Backend Authentication
Generate a secure JWT token on your server to authorize the user.
Drop-in Iframe
Load the chatbot via a lightweight iframe. No impact on your app bundle size.
Isolated Context
The bot operates securely within its own context, communicating safely via postMessage.
Modern Architecture
Built on a robust, scalable stack designed for enterprise RAG applications.
Next.js 14 Framework
Server Actions, App Router, and React Server Components for optimal performance.
Vector Database
PostgreSQL with pgvector extension for high-performance semantic search.
AI Integration
Flexible LLM pipelines supporting Google Gemini and OpenAI models.
Open Source & Deployable
Deploy via Docker, Vercel, or any standard Node.js environment.