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Meilisearch AI

Boost relevance and UX with fast hybrid and semantic search

πŸš€ Meilisearch is a superfast search engine for developers built in Rust. Our latest release introduces AI-powered semantic and hybrid search, blending full-text, semantic, and vector DB capabilities for smarter, faster results.

Top comment

Hey ProductHunt! I’m Quentin, one of the founders of the open-source search engine Meilisearch. Our goal is to make it easy for developers to ship good search UX, so I’m excited to launch Meilisearch AI today with the builders community here.


Meilisearch started when I was working in ecommerce and felt like the search options were either heavyweight like Elasticsearch or paid solutions with opaque pricing. We thought there was room for something transparent and dev-friendly that just works for most search use cases out of the box. Meilisearch AI is another step in this direction.


Our key features are:

πŸ”Ž Full-text search with simple, expressive ranking rules

🧠 AI-powered hybrid, semantic, and multi-modal search

⚑️ Sub 50ms latency, optimized for end user search


We’re excited to stabilize AI-powered search to allow developers to integrate fast and relevant search, retrieval-augmented generation, and recommendations in their apps. Building upon a year of open-source beta, our managed offer comes with the scalability, security, and monitoring you need to stay focused on building, not managing infrastructure.


For the occasion, we’re offering 2 months of free Meilisearch Cloud subscription. Use the ✨ "MeiliAI" ✨ coupon to get started.


We can’t wait to hear your thoughts!


For more details on our launch, check out: https://meilisearch.com/launch-week


Happy building πŸš€

About Meilisearch AI on Product Hunt

β€œBoost relevance and UX with fast hybrid and semantic search”

Meilisearch AI launched on Product Hunt on March 25th, 2025 and earned 245 upvotes and 40 comments, placing #7 on the daily leaderboard. πŸš€ Meilisearch is a superfast search engine for developers built in Rust. Our latest release introduces AI-powered semantic and hybrid search, blending full-text, semantic, and vector DB capabilities for smarter, faster results.

On the analytics side, Meilisearch AI competes within User Experience, Artificial Intelligence, GitHub and Search β€” topics that collectively have 890.3k followers on Product Hunt. The dashboard above tracks how Meilisearch AI performed against the three products that launched closest to it on the same day.

Who hunted Meilisearch AI?

Meilisearch AI was hunted by Quentin de Quelen. A β€œhunter” on Product Hunt is the community member who submits a product to the platform β€” uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Meilisearch AI has received 9 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

For a complete overview of Meilisearch AI including community comment highlights and product details, visit the product overview.