# Redis Vector Search: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 11 judge labels across 1 category by 7 of 14 models. Page: https://www.gane.ai/index/it/vendors/redis-vector-search

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Vector databases](https://www.gane.ai/index/it/it-data/vector-databases/index.md) | 0% | 13 | 18% | 11 |

## What the models said for it

- "Qdrant, Milvus, Zilliz, or Redis for unified cache + vector + operational data" (Muse Glimmer 30B, Vector databases)

## And against it

- "Vector search in Redis resides heavily in-memory (RAM), making multi-gigabyte/terabyte vector datasets disproportionately expensive" (Gemini 3.5 Flash, Vector databases)
- "Redis if you’re pushing tens/hundreds of millions of vectors and your RAM costs are climbing." (GLM 4.7 FlashX, Vector databases)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 3 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |

## Sources returned with these answers

The sites and pages cited by the answers that named Redis Vector Search, from 17 of the 24 answers that named it (only the models that return a source list).

### Domains cited

- github.com: 11
- redis.io: 7 (its own site)
- dev.to: 6
- atlan.com: 4
- g2.com: 4
- geekflare.com: 4
- sganalytics.com: 4
- actian.com: 3
- ciopages.com: 3
- cognee.ai: 3

### Pages cited

- https://github.com/exploreborders/RAG_Architecture/blob/main/docs/3-technical/vector-databases.md: 5
- https://g2.com/articles/best-vector-databases: 4
- https://geekflare.com/open-source/vector-database: 4
- https://sganalytics.com/blog/top-vector-databases-enterprise-ai: 4
- https://atlan.com/know/top-vector-databases-enterprise-ai: 3
- https://ciopages.com/buyer-guides/vector-database: 3
- https://cognee.ai/best-vector-database: 3
- https://db-engines.com/en/ranking/vector+dbms: 3

## What it publishes

Every page redis.io exposes, read 2026-09-29: 8468 addresses. By kind, pages and the last 90 days:

- blog: 1114 pages, 0 in the last 90 days, latest undated
- case study: 58 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 13 pages, 0 in the last 90 days, latest undated
- conference or event: 156 pages, 0 in the last 90 days, latest undated
- report or ebook: 9 pages, 0 in the last 90 days, latest undated
- comparison: 68 pages, 0 in the last 90 days, latest undated
- template or tool: 80 pages, 1 in the last 90 days, latest 2026-07-20
- glossary or explainer: 82 pages, 0 in the last 90 days, latest undated
- podcast or video: 135 pages, 1 in the last 90 days, latest 2026-09-25
- news or press: 148 pages, 0 in the last 90 days, latest undated
- Recent: 2026-09-25 podcast or video: Agent memory explained https://redis.io/resources/videos/agent-memory-explained/
- Recent: 2026-07-20 template or tool: V.3.8.0 https://redis.io/docs/latest/develop/tools/insight/release-notes/v.3.8.0
- Recent: 2026-06-09 template or tool: V.3.6.0 https://redis.io/docs/latest/develop/tools/insight/release-notes/v.3.6.0
- Recent: 2026-04-22 template or tool: V.3.4.2 https://redis.io/docs/latest/develop/tools/insight/release-notes/v.3.4.2
- Recent: 2026-04-17 template or tool: V.3.4.1 https://redis.io/docs/latest/develop/tools/insight/release-notes/v.3.4.1
- Recent: 2026-02-26 template or tool: V.3.2.0 https://redis.io/docs/latest/develop/tools/insight/release-notes/v.3.2.0

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.