# FAISS: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 11 judge labels across 1 categories by 7 of 12 models. Page: https://it-ai-index.com/vendors/faiss/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Vector databases | 0% | 11 | 18% | 11 |

## What the models said for it

- "Below ~10K vectors, deploying *any* dedicated vector DB is overengineering — use FAISS or even numpy in-memory instead." (DeepSeek V4 Flash, Vector databases)

## And against it

- "Be cautious about Chroma (and FAISS) for Large-Scale Production" (Gemini 3.5 Flash, Vector databases)
- "Tools like Annoy or Faiss are for offline, not live apps." (Grok 4.1 Fast, Vector databases)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.