How CustomGPT.ai Uses Pinecone to Serve 10,000+ Customers with Sub-20ms RAG

CustomGPT.ai lets businesses build domain-specific AI agents using their own data, without writing code. Scaling this to thousands of paying customers required vector infrastructure that could match their product's pace — reliable, fast, and invisible to their engineering team.

Managing a vector database in-house would have meant constant infrastructure work, pulling engineers away from RAG pipeline improvements, no-code interfaces, and new integrations. Every hour spent on ops was an hour not spent on product.

CustomGPT.ai adopted Pinecone as their fully managed vector database, taking advantage of its API-first design, regional failover, and sub-second data update latency. The platform now stores over 400M vectors across 10,000+ customer accounts.

Query latency sits at under 20ms at P50. Uptime exceeds 99.95%. And in an independent RAG accuracy benchmark by Tonic.ai, CustomGPT.ai ranked #1 — a result their team attributes in part to Pinecone's retrieval quality.