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How kapa.ai uses Weaviate

7 days

“The team built the first working version of their service with Weaviate in just 7 days”

As published on weaviate.io. Captured by usedby on Oct 2, 2026.

What happened

Kapa uses Weaviate as its core vector database and embeddings layer for an AI platform that turns technical documentation into support chatbots that answer product questions. It relies on Weaviate's hybrid search, Docker support and multi-tenancy to scale across nodes.

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

  • 100“Kapa has over 100 leading companies as customers including Docker, OpenAI, Monday.com, Grafana, and Reddit.”

Kapa chose Weaviate for several key reasons: Docker Compatibility: Weaviate's ability to run in Docker containers was crucial for their deployment and local development needs, unlike alternatives such as Pinecone.

From the page. weaviate.io, captured Oct 2, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 3, 2026.

  • The figure: 7 daysCheckedPrinted word for word on the page, near the name of kapa.ai.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of kapa.ai.
  • kapa.ai uses WeaviateCheckedConfirmed line. Latest check across sources: Oct 2, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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