Elasticsearch

Elasticsearch as a vector database, combining vector search with hybrid lexical search, filters and reranking.

Infrastructure by Elastic

IndexedLicense unknown★ 78,359

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pip install elasticsearch

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About

Elasticsearch functions as a vector database, storing embeddings and running kNN similarity search alongside full-text search, filters and aggregations in one engine. It supports dense and sparse vectors and offers a managed semantic_text workflow.

Use cases: knowledge-base, database-access

Reviews

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Fact sheet

Category: Vector databases · search engine
Self-host: Yeselastic.co
SLA: 99.95% monthly uptime SLA (Platinum and Enterprise tiers)elastic.co

Plans

Hosted	Contact sales	resource-based pricing, pay as you go or prepaid
Serverless	Contact sales	usage-based pricing, pay as you go or prepaid
Self-managed	Contact sales	license-based, by number of nodes and RAM used

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars: 78,359
Forks: 26,097
Open issues: 4,767
Last commit: Oct 24, 2026 (yesterday)
Last release: Oct 6, 2026 (20 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Packages: pypi elasticsearchnpm @elastic/elasticsearch
License: License unknown
Repository: github.com/elastic/elasticsearch
Website: www.elastic.co/elasticsearch/vector-database
Docs: www.elastic.co/docs/solutions/search/vector
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Website Docs Pricing page README github-graphql