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Data & context

Elasticsearch

Hybrid lexical and vector retrieval within a distributed document-search engine.

Overview

Research summary

Elasticsearch indexes documents for text search, filtering, analytics and vector similarity queries. AI applications can combine lexical and semantic retrieval to provide context for generation while retaining existing search infrastructure. The licensing scope is not uniform: eligible free source portions offer AGPLv3, SSPL or Elastic License options, while the default distribution and paid features use Elastic License 2.0. Elastic Cloud is a separate managed service. This entry describes the search engine, not the entire Elastic observability and security product portfolio.

Repository summary

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

View pricing & services ↗

Commercial offering checked 2026-10-02.

Licence scope

Eligible free source:AGPL-3.0ORSSPL-1.0ORElastic-2.0Default distribution and paid features:Elastic-2.0

Implementation

Recorded implementation details and interfaces for Elasticsearch.

Implementation details

Distributed search and analytics engine with REST APIs and vector retrieval

Languages
Java
Repository type
source

Recorded interfaces and capabilities

Licence scope

Eligible free source:AGPL-3.0ORSSPL-1.0ORElastic-2.0Default distribution and paid features:Elastic-2.0

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

elastic/elasticsearch ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 6

Research metadata

Research date
2026-10-01
Catalogue snapshot
2026-10-06

Community & social 2 channels

Video

Communities