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Meilisearch
Quiet
#6819 Radar 35

Unifies search and AI retrieval for developers, offering speed and relevance.

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Product memo

Meilisearch provides a unified platform for developers to build fast, relevant search and AI retrieval experiences. It integrates full-text, semantic, hybrid, and multimodal search, moving beyond traditional engines. Developers gain a flexible API for both public and private data, with an open-source core that simplifies integration and deployment.

For who

Developers building search and AI retrieval experiences

Solves what

Fast, relevant, and unified search and AI retrieval platform

  • Lightning-fast search
  • Plug-n-play setup
  • AI-powered hybrid search

In their own words

One platform to build, scale, and unify search and AI retrieval

Simplifying how teams build with search.

CTA: Get started

Commercial cues

Pricing snapshot usage based with free tier

Model

usage based

Free tier

Yes

Trial

14d

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Usage-based cloud pricing scales with document and search volume.
  • A 14-day free trial lowers the barrier to testing paid cloud tiers.
  • Free tier lowers testing friction.

Operator context

Operating setup

Team

VC / larger team

LLM classification

Founded

Oct 2025

Platform

API

Audience

Developers

Market demand

Meilisearch keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Open Source Commercial
Stage
Vc Growth
Effort
Complex Stack
About Meilisearch Expand

Meilisearch delivers a unified platform for developers to build search and AI retrieval experiences. It moves beyond traditional search engines by integrating capabilities like full-text, semantic, hybrid, and multimodal search.

With an open-source core and a developer-friendly API, Meilisearch simplifies the process of adding advanced retrieval, making it a practical choice for teams prioritizing setup time and relevance in their applications.