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Decision brief
Rust-based library & server for real-time vector & lexical search
Good fit when
- Need Rust integration for complex search tasks combining dense, sparse, and full-text capabilities
- Real-time enterprise solutions requiring multi-tenancy support
Avoid when
- Prefer Python or JavaScript environments over Rust for development
- Seeking only simple keyword-based or narrow-vector searches without hybrid features
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add SeekStorm crates.ioHow it fits your stack(6)
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Evidence and technical details
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Overview
SeekStorm is a Rust-based library and search server offering capabilities in both vector and lexical search, designed for real-time enterprise scenarios. It supports dense retrieval, sparse retrieval, full-text search, and more.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 21, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 21, 2026
- Languages
- rust
Source: github.language · Aug 21, 2026
Categories
Tags
README
Faceted search - Quick start
Facets are defined in 3 different places:
- The facet fields are defined in the schema at create_index.
- The facet field values are set in index_document at index time.
- The query_facets/facet_filter parameters are specified at query time.
Facets are then returned in the search result object.
A minimal working example of faceted indexing & search requires just 60 lines of code. But to puzzle it all together from the documentation alone might be tedious. This is why we provide a quick start example here:
Add required crates to your project
cargo add seekstorm
cargo add tokio
cargo add serde_json
Use an asynchronous Rust runtime
use std::error::Error;
#[tokio::main]
async fn main() -> Result<(), Box<dyn Error + Send + Sync>> {
// your SeekStorm code here
Ok(())
}
create index
For agents
This page has a .md twin and JSON over the API.