What is Meilisearch?

Meilisearch offers a powerful and user-centric search engine solution engineered for effortless integration into various websites and applications. It prioritizes speed, delivering search-as-you-type results in under 50 milliseconds. Designed with developers in mind, Meilisearch features smart presets that enable quick deployment, allowing users to begin searching through data with minimal initial configuration.

Beyond its core speed and ease of use, Meilisearch provides advanced search capabilities suitable for diverse requirements. It incorporates a sophisticated full-text search engine with features like typo tolerance and geosearch. Furthermore, it leverages AI through semantic search for deeper query understanding, hybrid search combining text and semantic approaches, and multi-modal search capabilities extending to images, videos, and audio. It also includes vector storage for advanced AI applications like Retrieval-Augmented Generation (RAG), along with tools for filtering, faceting, sorting, federated search across multiple data sources, and comprehensive search analytics.

Features

Lightning-fast Search: Delivers search results in under 50 milliseconds.
Plug-n-play Deployment: Enables quick setup with smart presets and minimal configuration.
Advanced Relevancy: Provides highly relevant search results out-of-the-box.
Full-text Search: Offers reliable search with features like geosearch and faceting.
Semantic Search: Enhances search results with deeper contextual understanding.
Hybrid Search: Combines the strengths of full-text and semantic search.
Multi-modal Search: Extends search capabilities to images, videos, and audio.
Filtering, Faceting, and Sorting: Provides a toolkit for building complex search interfaces.
Vector Storage: Enables storage and retrieval of vectors for advanced search, similarity queries, or RAG applications.
Federated Search: Allows searching across multiple data sources simultaneously.
Search Analytics: Offers insights into search performance and user behavior.
Geosearch: Supports location-based filtering and sorting of results.
Developer-Friendly Integration: Provides easy-to-use APIs and SDKs for various programming languages.
Open Source Availability: Offers a free, self-hostable open-source version.

Use Cases

Implementing fast search-as-you-type functionality on websites.
Building advanced search interfaces for e-commerce platforms.
Enhancing application search with semantic understanding.
Creating federated search experiences across multiple datasets.
Developing Retrieval-Augmented Generation (RAG) applications.
Integrating location-aware search features (Geosearch).
Improving search relevancy within media libraries or documentation sites.
Powering internal enterprise search across diverse data sources.

FAQs

How do I choose the right Meilisearch plan?

Plan choice depends on use case, document count, and search volume. The Build plan suits small projects, Pro for scaling, and Custom for unique needs like specialized support or volume discounts. Contact support for assistance.
What happens if I exceed my Meilisearch plan limits?

Exceeding limits incurs charges for additional usage based on searches and documents stored, with rates varying per plan (Build: $0.40/1k searches, $0.30/1k docs; Pro: $0.30/1k searches, $0.20/1k docs).
Is there a minimum commitment for Meilisearch Cloud plans?

No, there is no minimum term. Users can close their accounts anytime and are only charged for the active project period.
How does Meilisearch handle billing?

Billing is monthly per project, based on searches performed and documents stored. Overage charges apply if plan limits are exceeded. Payment is via credit card in USD through Stripe.
How does Meilisearch calculate the number of documents for billing?

The total number of documents across all indexes within a project at the time of billing determines the count.