# Elasticsearch: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/elasticsearch
Website: https://www.elastic.co

Elasticsearch was named in 23 of 50 AI answers across 1 category. Best position: Vector databases, 46% answer share, ranked #7, named first in 0%.

## What Elasticsearch is

Elasticsearch is a platform from Elastic for people building search and vector database applications, monitoring applications and infrastructure, and protecting against cyber threats. It is available as a hosted, serverless or self-managed product, with resource-based, usage-based and licence-based pricing respectively.

It runs on a distributed search and vector database with an analytics engine. Elasticsearch combines full-text and semantic search to return query results and supports real-time data analysis. RESTful APIs provide access to data, visualisations and deployments.

Pricing: Hosted pricing is resource-based, serverless pricing is usage-based, and self-managed pricing is license-based.
(From Elasticsearch's own website, read 2026-09-02.)

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Vector databases (https://www.memetik.ai/index/vector-databases) | #7 of 16 | 46% | 0% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro |

## What the models said

> "If your RAG application relies heavily on structured text filters, exact matches, and semantic search, Elasticsearch's hybrid search is best-in-class."
> — Gemini 3.5 Flash, Vector databases

> "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

> "The main contenders right now are pgvector, Pinecone, Qdrant, Weaviate, Milvus, Chroma, and LanceDB, plus platforms like Redis, Elasticsearch, and Vespa."
> — Claude Fable 5, Vector databases