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Enterprise Layer Intelligence
Categories/Developer Tools/Meilisearch
Meilisearch

Meilisearch

Founded by Quentin de Quelen in 2018

Add fast full-text and semantic search experiences to websites and applications

Pricing model

Free Tier, Paid

Rating

★ Highly positive

Time to value

Immediate

You can use Meilisearch to add instant search capabilities to your websites and applications. It provides fast search-as-you-type responses that deliver relevant results in milliseconds. The search engine supports traditional full-text queries, semantic search, and hybrid approaches that combine both. You can set up custom filters, sorting rules, and faceted navigation to guide users through catalogs or content libraries. Additionally, it offers vector storage for similarity matching and retrieval-augmented generation workflows, along with ready-to-use SDKs for quick implementation across various programming languages.

What Meilisearch does

Index documents using REST APIs or language SDKsExecute hybrid search queries combining keyword and vector dataConfigure typo tolerance and custom ranking rulesFilter and sort query results by facets or geographic coordinatesStore vector embeddings alongside structured record dataMonitor query latency and user search analyticsDeploy a managed search instance on cloud infrastructureInstant search-as-you-type querying under 50 millisecondsHybrid search combining full-text keywords and semantic embeddingsVector storage for similarity lookups and RAG workflowsBuilt-in filtering, faceting, and sorting configurationsMultimodal search across images, audio, and textGeographical search for location-based sorting and filteringFederated search across multiple data sources simultaneously

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
Cloud$20 / mo
Self-hostedFree

Frequently asked

PythonPythonGoGoReactReact

Used by

aayan

aayan

Web Developer @ 1

In their stack

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Meilisearch, search engine, full-text search, semantic search, hybrid search, vector database, RAG, developer tools, open source, search API, faceting, filtering, geosearch, fast search, text retrieval, embeddings