Ross ROSS = Recommend OSS · open-source software intelligence for agents

apache/solr

Apache Solr open-source search software observed · 2026-08-28

github.com/apache/solr · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2018
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1667 stars · 859 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Solr is a fast, open-source, multi-modal search platform built on Apache Lucene, providing full-text, vector, and geospatial search over HTTP with a REST-like API. It is highly scalable and fault tolerant, offering distributed indexing, replication, load-balanced querying, and automated failover via SolrCloud and ZooKeeper.

Use cases

  • add full-text search to a website or application
  • index and query millions of documents with faceting and highlighting
  • run vector search for semantic or AI-powered retrieval
  • perform geospatial search over location data
  • deploy a scalable, fault-tolerant search cluster on Kubernetes
  • build schemaless search indexes that evolve with your data
  • power e-commerce product search and navigation

When to choose

  • you need a battle-tested, production-grade enterprise search server with REST APIs
  • you require distributed indexing, replication, and automated failover at large scale
  • you want combined full-text, vector, and geospatial search in one platform
  • you need faceting, hit highlighting, joins, grouping, and advanced tokenization
  • you want Docker/Kubernetes deployment with an official Solr Operator

When to avoid

  • you only need simple embedded search inside a single application (consider Lucene directly)
  • you want a lightweight document store without search-centric features
  • your team cannot operate a JVM-based server or manage ZooKeeper-based clustering
  • you need a fully managed hosted search service rather than self-hosted infrastructure

Facets

service · maturity stable

search-engine database analytics http-server plugin-system databases big-data analytics backend jvm self-hosted windows full-text-search vector-search geospatial-search lucene faceting distributed-indexing solrcloud nosql information-retrieval rest-api search docker kubernetes web-server linux macos

6 sources

Member repositories

RepositoryRoleHealth v2
apache/solrmain77

For agents

markdown · JSON · MCP: product_card(name="apache/solr")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem