Cited source · URL-derived evidence
mastra.ai
Every row below resolves to a published AI-answer citation or a public source connection. Rank.ai derives citation hostnames from the returned URLs instead of trusting provider-supplied labels.
Visit domain ↗
- Cited prompts
- 2
- Model providers
- 1
- Cited pages
- 1
- Best position
- 3
- Categories
- 1
- Last observed
- Aug 4, 2026, 12:00 AM UTC
Benchmark coverage
Where this source appears
Coverage is counted from the complete published prompt × provider matrix for each live category.
| Category | Prompts citing | Providers citing | Citation observations | Snapshot time | Full ranking |
|---|---|---|---|---|---|
| Vector databases | 2 | 1 | 2 | Aug 4, 2026, 12:00 AM UTC | View table → |
Prompt × model ledger
Exact citation evidence
Citation position is the provider-returned order inside a single answer. It is not a page rank or an endorsement score.
| Prompt | Provider | Model version | Position | Category | Cited page |
|---|---|---|---|---|---|
| When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?commercial | Gemini | google/gemini-2.5-flash | 3 | Vector DBs | https://mastra.ai/articles/best-vector-database-providers ↗ |
| Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.recommendation | Gemini | google/gemini-2.5-flash | 6 | Vector DBs | https://mastra.ai/articles/best-vector-database-providers ↗ |
Page-level rollup
Pages models cited
De-duplicated by exact public URL and ordered by prompt breadth, provider breadth, then best observed position.
| Cited URL | Prompts | Providers | Best position | Observations | Categories |
|---|---|---|---|---|---|
| https://mastra.ai/articles/best-vector-database-providers ↗ | 2 | 1 | 3 | 2 | Vector DBs |