# OpenSearch: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/opensearch

OpenSearch was named in 18 of 50 AI answers across 1 category. Best position: Vector databases, 36% answer share, ranked #8, named first in 0%.

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Vector databases (https://www.memetik.ai/index/vector-databases) | #8 of 16 | 36% | 0% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Gemini, Gemini 3.5 Flash, Sonar Reasoning Pro |

## What the models said

> "Elasticsearch/OpenSearch and Weaviate are both called out as strongest for hybrid BM25 + vector work pgvector can do hybrid via Postgres full-text search, but it's more assembly required."
> — Claude Opus 5, Vector databases

> "Elasticsearch / OpenSearch Recommended when hybrid search requirements are primary and you already rely on Elasticsearch for text search."
> — Sonar Reasoning Pro, Vector databases

> "Elasticsearch/OpenSearch if your organization already operates that ecosystem."
> — GPT-5.6 Luna, Vector databases

> "Weaviate, Elasticsearch/OpenSearch, and Qdrant handle this well natively."
> — Claude, Vector databases