Documents & Data
Meilisearch
Search That Finds What Users Mean
Good search decides whether users find what they're looking for — or give up in frustration. Meilisearch returns results while you're still typing: in milliseconds, forgiving of typos, and ranked by relevance. Search for “Milan” and it still finds “Milann,” and the best result sits at the top, not buried on page three.
For product catalogs, knowledge bases, and customer portals, that means users get where they're going faster, support tickets drop, and in e-commerce, conversion goes up — people who find things buy them. Facets and filters keep even large datasets manageable.
Against heavyweights like Elasticsearch, Meilisearch wins on radical simplicity: no cluster infrastructure of its own, integrated in days rather than weeks, and cheap to run. Where the requirements don't justify a full-scale search platform, Meilisearch is our first choice — we already run it in production for client projects and integrate it seamlessly into Symfony applications. It's ready for AI applications too: vector search for semantic matches comes built in.
What Meilisearch means for your project
Finding, not searching
Results appear as you type, typos get forgiven, relevance holds up. Users get where they're going — which lowers bounce rates and support load.
Fast to integrate
Meilisearch goes into production in days, not weeks. We handle the Symfony integration and automatic indexing of your data — we've done it before.
Lightweight to run
No cluster, no specialist team, small servers: Meilisearch delivers search quality on par with major platforms at a fraction of the running cost.
Highlights
- Results in milliseconds — while the user is still typing
- Typo tolerance and relevance ranking, out of the box
- Facets and filters for large catalogs and portals
- Markedly simpler and cheaper to run than Elasticsearch
- Vector search built in — ready for semantic and AI search
