The Modern AI Chatbot Stack
Architecture
User → Frontend → API Gateway → LLM Router → AI Provider → Context Manager → Vector Database
RAG Pattern
- Embed knowledge base into vectors
- Store in pgvector/Pinecone
- Retrieve relevant context
- Generate response with context + LLM
Conversation Memory
Implement sliding window memory for multi-turn conversations.
Production Considerations
- Rate limiting
- Streaming responses (SSE)
- Fallback handling
- Content filtering
- Monitoring and A/B testing
Originally published on IceCat Studio Blog.