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

What happened

Netchex built AskHR + Netchex AI, a retrieval-augmented generation assistant that answers employee HR questions from documents such as employee handbooks and benefit plans. It uses LlamaIndex for document ingestion, retrieval, citations, and semantic routing.

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

Netchex chose LlamaIndex to power Netchex AI. The implementation used several key features of LlamaIndex:

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

LlamaIndex was the clear choice for us due to its robustness and ability to quickly prototype and scale. It's been instrumental in moving the needle on our AI initiatives, particularly in RAG applications and laying the groundwork for more complex agent workflows. With LlamaIndex, we've been able to bring enterprise-grade AI capabilities to small and medium businesses in a remarkably short timeframe.

Abhinav Agrawal, Chief Product and Technology Officer, Netchex. Source, 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 Netchex.
  • Netchex 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.

3 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 LlamaIndexweeks to minutes“significantly reduces the time needed to review condo documents — from weeks to minutes”CondoScan uses LlamaIndex. Another customer of LlamaIndex