Apache Lucene website screenshot

Apache Lucene

Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It provides indexing and search technology, as well as spellchecking, hit highlighting, faceting, vector similarity search, and advanced analysis and tokenization capabilities. Lucene is the foundation for many popular search applications including Apache Solr.

1 APIs 10 Features
Full-Text SearchIndexingJavaSearchText AnalysisVector Search

APIs

Apache Lucene

Lucene provides a comprehensive Java API for full-text indexing, searching, faceting, hit highlighting, spatial search, vector nearest-neighbor search, and text analysis with su...

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FinOps

Features

Full-Text Indexing

High-performance full-text indexing with over 800GB/hour throughput on modern hardware with minimal RAM requirements.

Vector Nearest-Neighbor Search

Native support for approximate and exact k-nearest-neighbor vector similarity search alongside traditional keyword search.

Advanced Query Types

Supports phrase queries, wildcard, proximity, range, fuzzy, and fielded queries with pluggable query parsers.

Faceting and Grouping

Built-in faceted search and result grouping capabilities for navigation and aggregation.

Hit Highlighting

Highlights search keywords in result snippets using the Highlighter and UnifiedHighlighter modules.

Spell Checking and Suggestions

Auto-suggest and spell-checking support via the Suggest module with multiple suggester implementations.

Pluggable Analyzers

Extensive analyzer ecosystem supporting dozens of languages including ICU, Kuromoji (Japanese), Nori (Korean), OpenNLP, and more.

Pluggable Ranking Models

Supports Vector Space Model, Okapi BM25, and custom pluggable similarity implementations.

Spatial Search

Geospatial search capabilities via the Spatial and Spatial3D modules.

Replication Support

Index replication support via the Replicator module for leader-follower architectures.

Use Cases

Enterprise Search

Power full-text search across enterprise documents, emails, databases, and file systems.

E-Commerce Product Search

Implement fast, relevant product search with facets, autocomplete, and spell correction.

Log and Event Search

Index and search structured and unstructured log data for observability and security analytics.

Semantic Search

Combine keyword search with vector embeddings for hybrid semantic and lexical retrieval.

Knowledge Base Search

Build searchable knowledge bases and documentation portals with rich query capabilities.

Integrations

Apache Solr

Apache Solr is built on top of Lucene and adds distributed search, REST API, and enterprise features.

Elasticsearch/OpenSearch

Elasticsearch and OpenSearch use Lucene as their underlying search engine.

Apache Hadoop

Lucene integrates with Hadoop for large-scale distributed indexing pipelines.

Apache Tika

Apache Tika extracts text from thousands of file formats for indexing into Lucene.

Apache OpenNLP

OpenNLP provides NLP analysis capabilities integrated through Lucene analyzers.

Apache Nutch

Apache Nutch is a web crawler that stores and indexes content via Lucene.

Lucene.NET

Official .NET port of Apache Lucene, maintained in the apache/lucenenet repository.

Resources

🌐
Portal
Portal
👥
GitHubOrganization
GitHubOrganization
👥
GitHubRepository
GitHubRepository
👥
GitHubRepository
GitHubRepository
🔗
IssueTracker
IssueTracker
📰
Blog
Blog
🔗
MailingList
MailingList
🔗
Slack
Slack
📜
TermsOfService
TermsOfService

Sources

apis.yml Raw ↑
aid: apache-lucene
name: Apache Lucene
description: Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It provides
  indexing and search technology, as well as spellchecking, hit highlighting, faceting, vector similarity search, and advanced
  analysis and tokenization capabilities. Lucene is the foundation for many popular search applications including Apache Solr.
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Full-Text Search
- Indexing
- Java
- Search
- Text Analysis
- Vector Search
created: '2026-03-16'
modified: '2026-04-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-lucene/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-lucene:apache-lucene
  name: Apache Lucene
  description: Lucene provides a comprehensive Java API for full-text indexing, searching, faceting, hit highlighting, spatial
    search, vector nearest-neighbor search, and text analysis with support for custom analyzers, query parsers, and pluggable
    ranking models including BM25 and Vector Space Model.
  humanURL: https://lucene.apache.org/core/
  tags:
  - Indexing
  - Java
  - Search
  - Vector Search
  - Text Analysis
  properties:
  - type: Documentation
    url: https://lucene.apache.org/core/
  - type: Documentation
    url: https://lucene.apache.org/core/10_4_0/index.html
  - type: GettingStarted
    url: https://lucene.apache.org/core/quickstart.html
  - type: SDKs
    url: https://central.sonatype.com/artifact/org.apache.lucene/lucene-core
    title: Maven Central (Java)
  - type: GitHubRepository
    url: https://github.com/apache/lucene
common:
- type: Portal
  url: https://lucene.apache.org/
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/lucene
- type: GitHubRepository
  url: https://github.com/apache/lucenenet
- type: IssueTracker
  url: https://github.com/apache/lucene/issues
- type: Blog
  url: https://lucene.apache.org/news.html
- type: MailingList
  url: https://lists.apache.org/list.html?dev@lucene.apache.org
- type: Slack
  url: https://the-asf.slack.com/messages/CE70MDPMF
- type: TermsOfService
  url: https://www.apache.org/licenses/LICENSE-2.0
- type: Features
  data:
  - name: Full-Text Indexing
    description: High-performance full-text indexing with over 800GB/hour throughput on modern hardware with minimal RAM requirements.
  - name: Vector Nearest-Neighbor Search
    description: Native support for approximate and exact k-nearest-neighbor vector similarity search alongside traditional
      keyword search.
  - name: Advanced Query Types
    description: Supports phrase queries, wildcard, proximity, range, fuzzy, and fielded queries with pluggable query parsers.
  - name: Faceting and Grouping
    description: Built-in faceted search and result grouping capabilities for navigation and aggregation.
  - name: Hit Highlighting
    description: Highlights search keywords in result snippets using the Highlighter and UnifiedHighlighter modules.
  - name: Spell Checking and Suggestions
    description: Auto-suggest and spell-checking support via the Suggest module with multiple suggester implementations.
  - name: Pluggable Analyzers
    description: Extensive analyzer ecosystem supporting dozens of languages including ICU, Kuromoji (Japanese), Nori (Korean),
      OpenNLP, and more.
  - name: Pluggable Ranking Models
    description: Supports Vector Space Model, Okapi BM25, and custom pluggable similarity implementations.
  - name: Spatial Search
    description: Geospatial search capabilities via the Spatial and Spatial3D modules.
  - name: Replication Support
    description: Index replication support via the Replicator module for leader-follower architectures.
- type: UseCases
  data:
  - name: Enterprise Search
    description: Power full-text search across enterprise documents, emails, databases, and file systems.
  - name: E-Commerce Product Search
    description: Implement fast, relevant product search with facets, autocomplete, and spell correction.
  - name: Log and Event Search
    description: Index and search structured and unstructured log data for observability and security analytics.
  - name: Semantic Search
    description: Combine keyword search with vector embeddings for hybrid semantic and lexical retrieval.
  - name: Knowledge Base Search
    description: Build searchable knowledge bases and documentation portals with rich query capabilities.
- type: Integrations
  data:
  - name: Apache Solr
    description: Apache Solr is built on top of Lucene and adds distributed search, REST API, and enterprise features.
  - name: Elasticsearch/OpenSearch
    description: Elasticsearch and OpenSearch use Lucene as their underlying search engine.
  - name: Apache Hadoop
    description: Lucene integrates with Hadoop for large-scale distributed indexing pipelines.
  - name: Apache Tika
    description: Apache Tika extracts text from thousands of file formats for indexing into Lucene.
  - name: Apache OpenNLP
    description: OpenNLP provides NLP analysis capabilities integrated through Lucene analyzers.
  - name: Apache Nutch
    description: Apache Nutch is a web crawler that stores and indexes content via Lucene.
  - name: Lucene.NET
    description: Official .NET port of Apache Lucene, maintained in the apache/lucenenet repository.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com