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

What happened

Morningstar uses Weaviate's vector database as the foundation of its Intelligence Engine Platform, which applies retrieval-augmented generation to its proprietary financial data and research. The platform powers APIs, chat interfaces and its investment research assistant chatbot, Mo, for internal and external users.

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

Morningstar was able to launch their Weaviate-powered investment research assistant, Mo, within weeks to empower both financial professionals and individual investors to conduct investment research with greater ease.

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

Through our Corpus API connected to Weaviate, users can build very powerful, low latency search engines in minutes with little to no code. Users can then also test different search algorithms without having to worry about re-indexing their data or that infrastructure at all.

Aisis Julian, Senior Software Engineer, Morningstar. 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 passage quoted aboveCheckedCopied word for word from the page, near the name of Morningstar.
  • Morningstar uses WeaviateCheckedConfirmed line. Latest check across sources: Oct 8, 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 Weaviate50,000+“SCALED TO 50,000+ TENANTS IN A SINGLE CLUSTER”DocsBot uses Weaviate. Another customer of Weaviate