Scaling AI Infrastructure: From Prototype to Production

# Introduction: The 'Day 2' Problem

Many AI startups fail not because their model is bad, but because their infrastructure crumbles under load.

# 1. Vector Database Optimization

Retrieval Augmented Generation (RAG) relies on vector search. Indexing strategies in tools like Pinecone or Weaviate are critical for sub-second retrieval at scale.

# 2. Semantic Caching

Don't generate the same answer twice. Semantic caching stores responses to similar queries, drastically reducing API costs and latency.

# 3. Agent Orchestration

Managing one agent is simple. Managing a swarm requires orchestration frameworks that handle state, memory, and hand-offs efficiently.

# Conclusion

Scalability is an architecture decision, not a patch. Plan for success from day one by choosing the right infrastructure partners.