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50,000+

“SCALED TO 50,000+ TENANTS IN A SINGLE CLUSTER”

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

What happened

DocsBot ingests, chunks and embeds customer documentation, then stores the vectors and metadata in Weaviate Cloud. At query time Weaviate provides semantic and hybrid search, and the retrieved context is passed to large language models to generate answers, with each customer's data kept in its own isolated tenant.

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

DocsBot scaled retrieval with Weaviate Cloud to handle massive query volume, directly enabling DocsBot’s core business.

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

Weaviate stood out because it’s clearly designed for real production use cases, not just experimentation. It was the only solution with an efficient tenant-based system that scaled to our unique workload of tens of thousands of distinct segmented indexes.

Aaron Edwards, Founder of DocsBot, DocsBot. Source, 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: 50,000+CheckedPrinted word for word on the page, near the name of DocsBot.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of DocsBot.
  • DocsBot uses WeaviateCheckedConfirmed line. Latest check across sources: Oct 2, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

40%“Weaviate outperformed OpenSearch by 20x at scale and with 40% lower operational costs”Booking.com uses Weaviate. Another customer of Weaviate$20M“Delegance holds $20M in premium under management across 40 accounts”Delegance uses Weaviate. Another customer of Weaviate50K+“Instabase is able to store 50K+ tenants in the Weaviate cluster and query data from specific tenants within milliseconds.”Instabase uses Weaviate. Another customer of Weaviate