# How Morningstar uses Weaviate

As published on [weaviate.io](https://weaviate.io/case-studies/morningstar). Captured by usedby on 2026-10-08.

- Company: [Morningstar](https://www.usedby.ai/companies/morningstar.md)
- Tool: [Weaviate](https://www.usedby.ai/tools/weaviate.md)
- Industry: [Investment & VC](https://www.usedby.ai/companies/industry/investment-vc.md)
- Teams: Quantitative Research, Research Products

## What the story says

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.

> 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

Source: [weaviate.io](https://weaviate.io/case-studies/morningstar), captured 2026-10-08.

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the passage quoted above is copied word for word from the page, near the name of Morningstar.
- Checked: Morningstar uses Weaviate. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/morningstar-weaviate · How we check: https://www.usedby.ai/methodology