Platform Insides

A technical look under the hood at how TeamTeacher works.

Platform Insides

TeamTeacher is built with cutting-edge technology to provide educators with powerful, reliable AI assistance.

Architecture

Modern Web Application

TeamTeacher is built as a modern web application using:

  • SvelteKit for fast, reactive user interfaces
  • Supabase for secure authentication and data storage
  • Edge computing for low-latency responses worldwide

AI Integration

We integrate multiple AI providers to give you access to the best models:

  • Anthropic Claude for reasoning and analysis
  • OpenAI GPT for creative generation
  • Google Gemini for multimodal capabilities

Key Technologies

Vector Database

We use Qdrant for semantic search and knowledge retrieval:

  • Fast similarity search across documents
  • Efficient knowledge base querying
  • Context-aware responses

Real-Time Collaboration

Built on WebSocket technology for:

  • Live document editing
  • Instant AI responses
  • Synchronized updates across devices

Security & Privacy

Enterprise-grade security features:

  • End-to-end encryption for sensitive data
  • Role-based access control
  • SOC 2 Type II compliant infrastructure
  • FERPA and COPPA compliant

Data Flow

How AI Conversations Work

  1. Your Message: You send a message to an AI agent
  2. Context Gathering: The system retrieves relevant context from:
    • Linked documents
    • Selected knowledge bases
    • Conversation history
  3. AI Processing: Your message and context are sent to the AI model
  4. Response Streaming: The AI response streams back in real-time
  5. Storage: Conversations are securely stored for future reference

How Documents Work

  1. Creation: You create or upload a document
  2. Processing: The content is processed and embedded
  3. Indexing: Embeddings are stored in the vector database
  4. Retrieval: When needed, similar content is found via semantic search

Performance

Speed

  • Response latency < 100ms
  • AI response time: 1-3 seconds for first token
  • Document search: < 50ms

Reliability

  • 99.9% uptime SLA
  • Automated backups every hour
  • Redundant infrastructure across multiple regions

Scalability

  • Handles millions of conversations per day
  • Auto-scaling infrastructure
  • CDN for global content delivery

Privacy & Data

Your Data Ownership

  • You own all your content
  • We never train AI models on your data
  • Easy data export at any time

Data Storage

  • Encrypted at rest and in transit
  • Stored in secure, compliant data centers
  • Regular security audits

AI Provider Policies

We work with AI providers who:

  • Don't use your data for training
  • Meet strict privacy standards
  • Provide enterprise-grade agreements

Open Source

TeamTeacher embraces open source:

  • Core components are open source
  • Community contributions welcome
  • Transparent development process

API & Integrations

REST API

Programmatic access to TeamTeacher features:

  • Document management
  • Conversation history
  • Knowledge bases
  • User management

Webhooks

Real-time notifications for:

  • New conversations
  • Document updates
  • Team activities

LMS Integration

Connect with popular learning platforms:

  • Canvas
  • Google Classroom
  • Schoology
  • Moodle

Roadmap

Coming Soon

  • Mobile applications (iOS & Android)
  • Offline mode for documents
  • Advanced analytics dashboard
  • Custom model fine-tuning

Under Development

  • Voice interaction capabilities
  • Collaborative spaces
  • Advanced workflow automation
  • Integration marketplace

Technical Documentation

For developers and technical teams:

Questions?

Technical questions? Contact our engineering team: