In this article, a multi-tenant RAG (Retrieve, Augment, Generate) pipeline is discussed, focusing on the challenges of reliability and security in SaaS applications, particularly the "noisy neighbor" problem, where some users disproportionately affect system performance. The solution presented involves using Neon’s database-per-user design and Inngest's workflow engine for guaranteed data isolation and capacity, ensuring one user's activity does not impact another's performance or access to data. A CRM application example demonstrates how contact CSV files are enriched and embedded into vector stores for semantic search, with each organization assigned a dedicated Neon database and guaranteed capacity through Inngest workflows. The approach includes throttling configurations to handle third-party API rate limits, ensuring fair processing performance for all users. The article highlights how leveraging Neon's and Inngest's features can efficiently manage multi-tenancy without additional infrastructure costs, with a demo available on GitHub for further exploration.