# meilisearch/meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Repository: https://github.com/meilisearch/meilisearch
Canonical: https://ross.abutalabs.com/products/meilisearch
Homepage: https://www.meilisearch.com
Language: Rust
License: NOASSERTION
License Family: other
Topics: search-engine, typo-tolerance, site-search, database, enterprise-search, search, app-search, full-text-search, geosearch, instantsearch, search-as-you-type, faceting, fuzzy-search, vector-database, vectors, hybrid-search, semantic-search, ai, api, vector-search
Last push: 2026-08-26T09:46:17+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 85, longevity 100
- inputs: {"age_days": 3054, "days_push": 7, "days_rel": 20, "gap_med": 5.0, "n_releases_24m": 91}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 59101, forks 2684 (observed 2026-08-28T04:12:18.722013+00:00)

## What it is
Meilisearch is a fast, open-source search engine that provides typo-tolerant full-text search, semantic and hybrid AI-powered search, and vector storage through a single REST API. It is self-hostable (with a paid cloud offering) and ships with SDKs for many languages plus an MCP server for LLM integration.

## Use cases
- add instant search-as-you-type to my website
- typo-tolerant product search for an e-commerce store
- semantic or hybrid search over my documents
- store vectors and do similarity search for RAG
- self-hosted Algolia alternative
- faceted filtering and geosearch for listings
- ground an LLM chatbot in my own content
- search across documentation or internal knowledge

## When to choose
- you need sub-50ms, out-of-the-box relevant search with minimal configuration
- you want typo tolerance, faceting, and geosearch without tuning a ranking engine
- you want to combine keyword and vector/semantic search in one API
- you want a self-hosted search engine with SDKs for most languages

## When to avoid
- you need complex custom relevance scoring or deep query DSL like Elasticsearch
- you need a distributed, horizontally scalable search cluster for very large datasets
- you need heavy analytics or log ingestion workloads rather than app search
- you require a permissive license for enterprise redistribution (license is not standard MIT at repo level)

## Facets
- artifact type: service
- maturity: stable
- function: search-engine, vector-database, http-server, rag, mcp
- domain: databases, web-development, artificial-intelligence, e-commerce
- platform: self-hosted, cloud, rust
- tags: full-text-search, typo-tolerance, semantic-search, hybrid-search, search-as-you-type, geosearch, faceting, instantsearch, embeddings, site-search, search, retrieval-augmented-generation, docker, kubernetes, web-server

## Member repositories
- meilisearch/meilisearch (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.722013+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 2026-08-29T16:18:13.181874+00:00, confidence not recorded.
  - readme: https://github.com/meilisearch/meilisearch (fetched 2026-08-28T04:12:18.722013+00:00, sha 9f3b2bfe27cf)
  - homepage: https://www.meilisearch.com (fetched 2026-08-28T18:01:03.271814+00:00, sha cfecceb47437)
  - site_page: https://www.meilisearch.com/docs (fetched 2026-08-28T18:01:03.284199+00:00, sha fda18c7a3877)
  - site_page: https://www.meilisearch.com/docs/learn/what_is_meilisearch/sdks (fetched 2026-08-28T18:01:03.285935+00:00, sha 9d8fcc3ae61f)
  - site_page: https://www.meilisearch.com/pricing (fetched 2026-08-28T18:01:03.280477+00:00, sha ef721b689396)
  - site_page: https://www.meilisearch.com/products/fulltext-search (fetched 2026-08-28T18:01:03.282416+00:00, sha 06f20e270ec0)
  - site_page: https://www.meilisearch.com/integrations (fetched 2026-08-28T18:01:03.287456+00:00, sha 16993471e947)
- Data as of 2026-08-30T08:39:29.467469+00:00.