Meilisearch provides a search engine API designed for applications and websites, offering sub-50-millisecond search-as-you-type results, typo tolerance, and AI-powered hybrid search. It can be run locally, self-hosted, or used via Meilisearch Cloud.
Project overview
The project addresses the need for a fast and relevant search experience by combining semantic and full-text search out of the box.
Project type
AI Search · Vector Database
Use cases
Search & Research
Deployment
Refer to project documentation
License
License pending
Best for
Developers needing a search API for their applications and websites.
Enterprise teams requiring multi-tenancy features via API keys and tenant tokens.
Key capabilities
Combines semantic and full-text search to deliver relevant results.
Provides search-as-you-type results in under 50 milliseconds with typo tolerance.
Filters and sorts documents based on geographic data.
Secures data and personalizes search results for multiple application tenants via API keys and tenant tokens.
Integrates Meilisearch into technical stacks with plugins and SDKs.
Scales horizontally by distributing data across multiple nodes (Enterprise Edition).
Limitations and risks
Enterprise Edition (EE) features like sharding are not allowed in production without a commercial agreement.
Getting started
Installation is documented as easy. The first success path involves setting up Meilisearch, adding documents to an index, and searching for documents using out-of-the-box presets.
Alternatives and comparisons
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A vector database that performs vector and hybrid search, offering production-ready multi-tenancy and horizontal scaling.
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GitHub project description: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Release: v1.49.0 🪺
README: ⚡ A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow 🔍
README: **Hybrid search:** Combine the best of both [semantic](https://www.meilisearch.com/docs/learn/experimental/vector_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&…
README: **Search-as-you-type:** Find & display results in less than 50 milliseconds to provide an intuitive experience