Torque vs Meilisearch

Torque and Meilisearch are both fast search engines built in Rust. They differ in API, licensing, and where GPU acceleration applies.

Meilisearch is a well-liked, open-source search engine written in Rust, known for excellent developer experience and instant, typo-tolerant search that is easy to set up. Its core Community Edition is MIT-licensed and fully open source, it has its own REST API, and it offers a managed Meilisearch Cloud alongside self-hosting.

Torque is also built in Rust and also self-hosted, but it makes different choices. It serves the Typesense v30.1 API rather than its own, which lets teams already on Typesense reuse their clients and tooling. It offers GPU-accelerated search, and it ships as a commercial product with a defined license and support. If a fully open-source engine matters most to you, Meilisearch is the natural pick; if the Typesense API or GPU search matter more, Torque is built for that.

How they compare

TorqueMeilisearch
Foundations
LanguageRustRust
LicenseCommercial (Truespar EULA)Open source: MIT core, with a Business Source License Enterprise Edition for sharding
DeploymentSelf-hostedSelf-hosted or Meilisearch Cloud
APITypesense v30.1-compatible REST APIIts own Meilisearch REST API
Bulk ingestionBinary TCP streaming protocol and binary file uploadHTTP JSON / NDJSON import
Search features
Typo toleranceYes (SymSpell)Yes
Faceting & filteringYesYes
Vector & hybrid searchYes (RaBitQ quantization)Yes (generally available)
Conversational & NL searchYes (any OpenAI-compatible LLM)AI chat (experimental)
GPU accelerationYes, for search compute (CUDA)Embedding generation only (self-hosted build)
Built-in MCP server for AI agentsYesNot built in
Where Meilisearch leads
Open sourceCommercial licenseMIT-licensed core, fully open source
Managed cloud optionSelf-hosted onlyMeilisearch Cloud
Community & ecosystemFocused, newerLarge, mature open-source community

Based on Meilisearch's published documentation, license files, and pricing as of July 2026. Torque figures reflect the current 0.6 release. We have not run a head-to-head Torque-vs-Meilisearch benchmark and make no speed claim between the two here.

Where each one fits

Choose Meilisearch when a fully open-source (MIT) engine is a priority, you like its own clean API and developer experience, or you want a managed Meilisearch Cloud with a large community behind it.

Choose Torque when you specifically want the Typesense-compatible API (to reuse Typesense clients and tooling), a high-throughput binary ingest protocol, GPU-accelerated search, a built-in MCP server for AI agents, or a commercial product with a defined license and support.

Moving from Meilisearch

Meilisearch and Torque use different APIs, so switching means re-indexing your data and re-integrating against Torque's Typesense v30.1 API with one of the five client SDKs. If you are weighing both from scratch, the deciding factors are usually the API you want to build against, whether you need GPU-accelerated search, and whether an open-source or commercial license fits your project.