For MariaDB, LLMs are the new search engines to win over
It now supports vector search, which lets applications find items by similarity rather than exact matches – a common requirement in AI applications. The nonprofit MariaDB Foundation supports development of the open source server and its community, while MariaDB plc develops the commercial products and provides support.MariaDB is familiar to users of many Linux distributions. Arnö's concern is whether developers starting a new AI project will ever be pointed toward it."People start using vector databases based on some framework or based on some default choices of the LLM," he explains.
- ▪It now supports vector search, which lets applications find items by similarity rather than exact matches – a common requirement in AI applications.
- ▪The nonprofit MariaDB Foundation supports development of the open source server and its community, while MariaDB plc develops the commercial products and provides support.MariaDB is familiar to users of many Linux distributions.
- ▪Arnö's concern is whether developers starting a new AI project will ever be pointed toward it."People start using vector databases based on some framework or based on some default choices of the LLM," he explains.
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| Original publisher | The Register |
| Canonical URL | https://www.theregister.com/databases/2026/09/24/for-mariadb-llms-are-the-new-search-engines-to-win-over/5298104 |
| Publication time | Thu, 24 Sep 2026 12:00:00 +0200 |
| Retrieval time | 2026-09-24T10:00:25.805Z |
| Last seen | 2026-09-24T10:00:25.805Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | drOQe8YASPIE · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); databases For MariaDB, LLMs are the new search engines to win over Its vector search is ready, but coding assistants keep pointing developers toward other databases, says the foundation's chairman Richard Speed Richard Speed MICROSOFT ECOSYSTEM REPORTER Published thu 24 Sep 2026 // 11:00 UTC READ MORE OpenAI's Astra model went for a drive and no one died 9 hours ago Mop the slop from your LinkedIn feed with a new open-source Chrome extension 13 hours ago Shut up and calculate: Jev's new…
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