Artificial intelligence is no longer just a gimmick — it is becoming a core feature of modern B2B SaaS software. Integrating LLMs, vector search databases, and automated agentic loops requires clear guardrails around latency, accuracy, and cost management.
Architecture Patterns for Production AI
- Retrieval-Augmented Generation (RAG): Index company docs using embedding models to provide accurate, hallucination-free answers.
- Background Queue Processing: Run heavy AI data transformations asynchronously off the main request thread.
- Fallback & Token Caching: Cache common AI responses and validate output schemas using Zod before rendering to users.