Kartik Aneja

AI Infrastructure • Backend • MLOps — Boston, MA

Shipping a production RAG pipeline — design and pitfalls

Short summary: lessons learned building retrieval-augmented generation systems in production — from vector store choices to caching and observability.

TL;DR

  • Use a robust vector DB for scale.
  • Add a retrieval caching layer.
  • Monitor retrieval latency and relevance.