# How Nvidia uses LlamaIndex

As published on [llamaindex.ai](https://www.llamaindex.ai/customers/developer-project-spotlight-building-an-ai-sales-assistant-with-llamaindex-and-nvidia-nim). Captured by usedby on 2026-10-07.

- Company: [Nvidia](https://www.usedby.ai/companies/nvidia.md)
- Tool: [LlamaIndex](https://www.usedby.ai/tools/llamaindex.md)
- Industry: [Artificial Intelligence](https://www.usedby.ai/companies/industry/artificial-intelligence.md)
- Teams: Sales

## What the story says

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.

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of Nvidia.
- Checked: Nvidia uses LlamaIndex. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/nvidia-llamaindex · How we check: https://www.usedby.ai/methodology