# elastic/elasticsearch

Free and Open Source, Distributed, RESTful Search Engine

Repository: https://github.com/elastic/elasticsearch
Canonical: https://ross.abutalabs.com/products/elasticsearch
Homepage: https://www.elastic.co/products/elasticsearch
Language: Java
License: NOASSERTION
License Family: other
Topics: elasticsearch, java, search-engine
Last push: 2026-08-27T00:01:03+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 6050, "days_push": 7, "days_rel": 13, "gap_med": 0, "n_releases_24m": 106}
- flags: no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 77863, forks 26057 (observed 2026-08-28T04:12:21.663921+00:00)

## What it is
Elasticsearch is a free and open source, distributed, RESTful search and analytics engine built on Apache Lucene. It stores structured, unstructured, and vector data in real time, supporting full-text, hybrid, and vector search plus aggregations and AI/RAG workloads.

## Use cases
- add full-text search to my website or app
- store and query vector embeddings for semantic search
- build a RAG chatbot over my documents
- centralize and search application logs
- run real-time analytics and aggregations on large datasets
- index and search geospatial data
- power product or document search with relevance ranking

## When to choose
- you need fast, scalable full-text or hybrid search across large datasets
- you want a vector database with mature ecosystem and client libraries
- you're building observability or security analytics on the ELK stack
- you need real-time aggregations and analytics over high-cardinality data

## When to avoid
- you only need simple relational queries and joins — a SQL database fits better
- you can't operate a JVM cluster and don't want a managed cloud offering
- your dataset is small enough for Postgres full-text search or SQLite FTS
- you require a permissively licensed codebase — the license is not OSI-approved

## Facets
- artifact type: service
- maturity: stable
- function: search-engine, vector-database, analytics, database
- domain: databases, analytics, large-language-models, monitoring, security
- platform: jvm, windows, cloud, self-hosted
- tags: full-text-search, distributed-systems, rest-api, lucene, rag, hybrid-search, elk-stack, log-analytics, search, linux, macos, docker

## Member repositories
- elastic/elasticsearch (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.663921+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:14:11.676461+00:00, confidence not recorded.
  - homepage: https://www.elastic.co/products/elasticsearch (fetched 2026-08-28T17:42:41.075792+00:00, sha 83e52b69bfac)
  - site_page: https://www.elastic.co/about (fetched 2026-08-28T17:42:41.084907+00:00, sha dcc190ae197d)
  - site_page: https://www.elastic.co/getting-started (fetched 2026-08-28T17:42:41.088565+00:00, sha 7de41ab1d939)
  - site_page: https://www.elastic.co/docs (fetched 2026-08-28T17:42:41.092096+00:00, sha c4139162fd2c)
  - site_page: https://www.elastic.co/virtual-events/getting-started-elasticsearch?elektra=en-elasticsearch-page (fetched 2026-08-28T17:42:41.097617+00:00, sha 7650d67f24da)
  - site_page: https://www.elastic.co/partners/ai-ecosystem (fetched 2026-08-28T17:42:41.086810+00:00, sha 87dba7e5abe6)
  - site_page: https://www.elastic.co/integrations/data-integrations (fetched 2026-08-28T17:42:41.090219+00:00, sha 75f0e785f92a)
  - site_page: https://www.elastic.co/search-labs (fetched 2026-08-28T17:42:41.093746+00:00, sha 4474e57454b5)
  - site_page: https://www.elastic.co/pricing (fetched 2026-08-28T17:42:41.095550+00:00, sha 6ab7886d790c)
- Data as of 2026-08-30T08:39:29.467469+00:00.