Index › IT › Products › Vespa · November 2026 Edition
Vector databases · Named, not ranked

Vespa

Vespa is a vector database used for hybrid search with learned ranking, available as the managed service Vespa Cloud · vespa.ai ↗

–Too few to rank
5/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inVector databases #14 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Vespa has 5.

Why models recommend it

“Pick Vespa if your app needs vector + keyword + structured retrieval plus custom ranking in one engine.”GPT-5.4 mini · Comparative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Vespa, over the 9 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Vespa's own site, not checked by Gane.

For
dev, production, and enterprise support
Price stated
pay only for what you use, with tiers for dev, production, and enterprise support, plus $300 in free credits
Free plan or trial
$300 in free credits
Customers named
Perplexity, Spotify, Yahoo, Onyx, Kleinanzeigen, Metal AI, Clarm, DeviantArt
Visit vespa.ai ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Vespa came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 7 of the 9 answers that named Vespa and are not a share of its labels.

By model

How each model answered on Vespa across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000101
Mistral Small00202
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101

What it publishes

Addresses on vespa.ai
957
subdomains included
Content
404
counted in the table below
Documentation
355
Product · Integration
4 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog34742026-09-13Vector databases
Glossary or explainer3212026-07-07
Conference or event8undated
Comparison802025-12-29
Case study3undated
Webinar or virtual event2undated
Report or ebook2undated
News or press2undated
How it is countedHide how it is counted

Every page vespa.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.