What is SeekStorm used for?

SeekStorm is a Rust search engine offering vector and lexical search as an in-process library or a multi-tenancy server, with REST clients in several languages. It is a good fit for embedded full-text search in an application and self-hosted multi-tenant search service.

Is SeekStorm open source?

Yes. SeekStorm is open source under the Apache-2.0 licence. Its source code is on GitHub at SeekStorm/SeekStorm and is written mainly in Rust.

Yes. SeekStorm is open source, so the software itself is free to use.

Can I self-host SeekStorm?

Yes. SeekStorm can be self-hosted on your own server or infrastructure.

What is SeekStorm an alternative to?

SeekStorm is an open-source alternative to Algolia, Elastic and Azure AI Search. Other open-source alternatives to Algolia include Manticore Search, Typesense and RediSearch.

Is SeekStorm actively maintained?

Yes. The most recent commit to SeekStorm was on 12 September 2026, and the latest release is v3.3.13, published on 12 September 2026. The project has 1.9k stars on GitHub.

SeekStorm: open-source alternative to Algolia, Elastic

About SeekStorm

SeekStorm is a native vector and lexical search engine written in Rust, available as an in-process library and as a multi-tenancy search server. Development started in 2015, it has been in production since 2020, it was ported to Rust in 2023, and it was open sourced in 2024. It is a work in progress and is released under the Apache-2.0 license.

Search capabilities include full-text BM25 search, vector and hybrid search, faceting, geosearch, and real-time indexing, according to its topics. There are REST clients for Rust, Python, TypeScript, C#, and Java, and an instant search adapter that redirects an existing Algolia InstantSearch.js frontend to a SeekStorm backend without rewriting the UI, plus a widget library for building a fresh interface.

SeekStorm suits developers who need embedded search inside an application, or a self-hosted search server for multiple tenants, as an alternative to hosted services like Algolia or heavier engines.

Key features

In-process search library and multi-tenancy server
Lexical BM25 and vector search
Hybrid search with faceting and geosearch
REST clients for Rust, Python, TypeScript, C#, and Java
Adapter for Algolia InstantSearch.js frontends
Real-time indexing

Good fit for

→Embedded full-text search in an application
→Self-hosted multi-tenant search service

Built with: Rust
Tags: search-engine; vector-search; full-text-search; rust; hybrid-search; bm25; multi-tenant; library

SeekStorm: questions and answers

What is SeekStorm used for?: SeekStorm is a Rust search engine offering vector and lexical search as an in-process library or a multi-tenancy server, with REST clients in several languages. It is a good fit for embedded full-text search in an application and self-hosted multi-tenant search service.
Is SeekStorm open source?: Yes. SeekStorm is open source under the Apache-2.0 licence. Its source code is on GitHub at SeekStorm/SeekStorm and is written mainly in Rust.
Is SeekStorm free?: Yes. SeekStorm is open source, so the software itself is free to use.
Can I self-host SeekStorm?: Yes. SeekStorm can be self-hosted on your own server or infrastructure.
What is SeekStorm an alternative to?: SeekStorm is an open-source alternative to Algolia, Elastic and Azure AI Search. Other open-source alternatives to Algolia include Manticore Search, Typesense and RediSearch.
Is SeekStorm actively maintained?: Yes. The most recent commit to SeekStorm was on 12 September 2026, and the latest release is v3.3.13, published on 12 September 2026. The project has 1.9k stars on GitHub.