Can prompt caching tame RAG costs without sacrificing accuracy?

The piece focuses on cutting RAG costs in production, with prompt caching as one lever to lower API spend without hurting answer quality.

It says simple RAG demos often fail at enterprise scale, where large document ingestion can trigger timeouts, overload, and reliability issues.

Recommended patterns include asynchronous ingestion, micro-batching, and rate limiting to make embedding and retrieval pipelines more scalable.

The article frames better caching and ingestion design as key to making enterprise RAG systems faster, more reliable, and economically viable.