# Amazon OpenSearch Service: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 1 judge label across 1 category by 1 of 14 models. Page: https://www.gane.ai/index/it/vendors/amazon-opensearch-service

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Vector databases](https://www.gane.ai/index/it/it-data/vector-databases/index.md) | 0% | 19 | 0% | 1 |

## What the models said for it

- "AWS OpenSearch (with k-NN plugin)" (MiniMax M2.5, 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 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named Amazon OpenSearch Service, from 4 of the 7 answers that named it (only the models that return a source list).

### Domains cited

- docs.aws.amazon.com: 3 (its own site)
- elastic.co: 2
- linkedin.com: 2
- milvus.io: 2
- pinecone.io: 2
- pureinsights.com: 2
- qdrant.tech: 2
- docs.cloud.google.com: 1
- docs.weaviate.io: 1
- github.com: 1

### Pages cited

- https://pureinsights.com/blog/2024/comparing-vector-search-solutions-2024: 2
- https://docs.aws.amazon.com/decision-guides/latest/decision-guides/vector-database-guide.html: 1
- https://docs.aws.amazon.com/opensearch-service/latest/developerguide/vector-search.html: 1
- https://docs.aws.amazon.com/pdfs/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/choosing-an-aws-vector-database-for-rag-use-cases.pdf: 1
- https://docs.cloud.google.com/vertex-ai/docs/core-release-notes: 1
- https://docs.weaviate.io/weaviate/concepts/search/hybrid-search: 1
- https://elastic.co/docs/solutions/search/hybrid-search: 1
- https://elastic.co/docs/solutions/search/vector: 1

## 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.
