Meilisearch
One platform to build, scale, and unify search and AI retrieval
- Also known as
- meilisearch
What is Meilisearch?
Search engine for websites and applications offering full-text, vector, and hybrid AI-powered search. Achieves sub-50ms search latency with flexible self-hosting or managed cloud deployment options.
Meilisearch pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $20/month. Free 14-day trial, no credit card required.
Cloud (Usage-based)
Pay based on documents and searches volume
- searches
- 50K/mo
- documents
- 100K/mo
Cloud (Resource-based)
Pay for allocated infrastructure resources
Enterprise
Contact salesCustom mission-critical deployments with dedicated support
- Dedicated Slack support
- Up to 99.999% SLA
- Sharding & replication
- Advanced analytics
- Personalization
- Dynamic search rules
- SSO/SAML
- SOC 2 compliance
What Meilisearch does
The capabilities that matter for search engines, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Managed
- Index engine
- -
- Query DSL (JSON / SQL / params / GraphQL)
- -
- Faceting & filtering
- Yes
- Geo search
- ✓
- Typo tolerance / fuzzy
- Built-in
- Relevance tuning
- Ranking rules
- Vector / hybrid search
- Dense + lexical fusion
- Distributed / horizontal scale
- Sharded
- Multi-tenancy (indexes / collections / tenants)
- ✓
- Real-time indexing
- Near-real-time
- Log / analytics workload
- -
- Licence class
- -
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (1)
Independently observed- LangChain
Meilisearch alternatives
Other search engines we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Meilisearch, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Github Activity | 63 | 20.00 | 1262.0 | ✓ |
| Release Cadence | 98 | 12.00 | 1173.3 | ✓ |
| Reliability | 100 | 10.00 | 999.5 | ✓ |
| Security Posture | 50 | 18.00 | 900.0 | ✓ |
| Capabilities | 46 | 17.00 | 778.9 | ✓ |
| Github Stars | 90 | 7.00 | 629.8 | ✓ |
| Pricing Transparency | 75 | 8.00 | 600.0 | ✓ |
| Price Level | 80 | 6.00 | 480.0 | ✓ |
| Integrations | 9 | 8.00 | 69.3 | ✓ |
| Package Downloads | 0 | 6.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 20.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-08-01 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 58,816 | highsource · 2026-08-01 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"faceting":"yes","deployment":"managed","geo_search":true,"distributed":"sharded","multi_tenancy":true,"vector_search":"hybrid_fusion","typo_tolerance":"built_in","relevance_tuning":"ranking_rules","realtime_indexing":"near_real_time"} | mediumsource · 2026-08-01 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1 | mediumsource · 2026-08-01 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Rust | highsource · 2026-08-01 · 90% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 4 | mediumsource · 2026-08-01 · 70% |