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usedby

As published on llamaindex.ai. Captured by usedby on Oct 7, 2026.

What happened

NVIDIA built an internal AI sales assistant for its sales representatives, using LlamaIndex Workflows to route queries and run retrieval-augmented generation over internal and external sources. It runs on NVIDIA NIM inference with a Chainlit chat interface.

Summary written by usedby from the source page, in English. The figures are those of LlamaIndex and Nvidia, not ours.

LlamaIndex provided the foundation for managing and querying internal knowledge, while NIM microservices offered scalable inference services for various large language models, ensuring low-latency responses.

From the page. llamaindex.ai, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Nvidia.
  • Nvidia uses LlamaIndexCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

6 hrsAverage time to merge, down from 24+ hrsNvidia uses Greptile. Another tool at Nvidia3 days“The solution moved from prototype to production in 3 days”11X uses LlamaIndex. Another customer of LlamaIndex70%“70% reduction in campaign creation time”Caidera.ai uses LlamaIndex. Another customer of LlamaIndex