# Meilisearch Pesquisa open source e recuperação por IA para sites e apps - Findings24: - Site: - Preços: Freemium - Categorias: Motor de Busca IA ## O que é Meilisearch? Meilisearch is an open-source search and AI retrieval platform for websites and applications. The site presents it as a flexible engine for teams that need fast keyword search, semantic retrieval, or a combination of both. Its product pages describe a search stack that supports full-text search, hybrid search, and multimodal search, plus tools such as faceting, filtering, geosearch, vector storage, federated search, and search analytics. The platform is available through Meilisearch Cloud or as a self-hosted deployment. ## O que Meilisearch pode fazer? ### Full-text search Supports search-as-you-type and typo tolerance so users can find results even when they misspell a query or only remember part of a term. ### Hybrid search Combines keyword search with semantic search, with a tunable semantic ratio and integrations with multiple embedding providers. ### Multimodal search Searches images, video, audio, and text in one unified index, with support for text-to-image search, visual similarity, and metadata filtering. ### Advanced search controls Provides filtering, faceting, sorting, geosearch, vector storage, federated search, and search analytics for building richer search interfaces. ### Developer tooling Offers SDKs and integrations across multiple languages and frameworks, along with documentation aimed at making the API straightforward to use. ### Deployment options Available on Meilisearch Cloud or self-hosted as an open-source engine, with a pricing structure that includes usage-based, resource-based, and enterprise options. ## Casos de uso ### On-site search Use typo-tolerant keyword search for product catalogs, content libraries, or internal apps where users expect instant results as they type. ### Semantic discovery Use hybrid search when people alternate between exact product names and more natural language queries, such as discovery and support flows. ### Rich media search Use multimodal search to query images, video, audio, and text together in media libraries or visual commerce workflows. ### Retrieval workflows Use vector storage and federated search for RAG-style retrieval or for searching across multiple data sources in one interface. ### Search operations Use analytics, personalization, and search rules on higher-tier plans when teams need more control over result quality and behavior. ## Perguntas frequentes ### What is Meilisearch used for? Meilisearch is a search and AI retrieval platform that can be used for full-text search, hybrid search, and multimodal search. The site positions it as a developer-friendly engine that can be added to a website or application. ### Does Meilisearch offer Cloud and self-hosted deployment? The pricing page offers a Cloud plan with a 14-day free trial, an Enterprise plan with custom pricing, and a self-hosted option. The site also says self-hosting is free, but you manage infrastructure yourself. ### How fast is Meilisearch? The product pages describe search results in under 50 milliseconds for typical workloads on full-text and hybrid search pages, with semantic and multimodal capabilities available through AI embeddings. ### Which programming languages and frameworks does Meilisearch support? The site lists SDKs and integrations for JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart, Rust, Swift, plus React, Vue, Angular, Rails, and Symfony. ### What support and enterprise options are available? The pricing page says Cloud includes email support, while Enterprise adds dedicated Slack support, custom SLAs, and compliance-oriented features such as SSO SAML and SOC 2 Type II. ## Informações rápidas - **Category**: Search and AI retrieval platform - **Product type**: Open-source engine with Cloud and self-hosted deployment - **Primary users**: Developers, product teams, and organizations building search experiences - **Source domain**: meilisearch.com - **Pricing model**: Cloud, enterprise, and self-hosted options - **Notable workflow**: Add documents, index them, and search through full-text, hybrid, or multimodal queries