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Search tools, companies

How Neople uses Weaviate

90%

“90% FASTER SEARCH”

As published on weaviate.io. Captured by usedby on Oct 8, 2026.

What happened

Neople uses Weaviate as the vector database behind its Neople Assistants, digital co-workers for customer service, to query company-specific knowledge quickly and accurately. It replaced a Postgres database and uses Weaviate's hybrid search and out-of-the-box reranking module.

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

  • 1000“Compared to their original database, Neople has increased the number of data objects stored in their Weaviate database by a factor of 1000 while improving query response times.”

The amount of time it takes to receive a search result has been reduced from taking an average of 10 seconds to less than 1 second.

From the page. weaviate.io, captured Oct 8, 2026

We're really eager to learn from other people and to use services like Weaviate that specialize in vector databases to improve our offering. In the end our main goal isn’t to maintain a database, it’s to deliver the best results and user experience for our customers

Job Nijenhuis, co-founder and CTO, Neople. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The figure: 90%CheckedPrinted word for word on the page, near the name of Neople.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Neople.
  • Neople uses WeaviateCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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