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SeekStorm

SeekStorm/SeekStorm

Vector & Lexical Search Library and Multi-tenancy Server

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

71views this month

1.9k stars69 forksLast push Sep 12, 2026 Rust Apache-2.0

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

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (7d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

cargo add SeekStorm
crates.io

How it fits your stack(6)

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

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 · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
rust

Source: github.language · Sep 20, 2026

Categories

Tags

README

Faceted search Quick start Facets are defined in 3 different places: 1. The facet fields are defined in the schema at create index. 2. The facet field values are set in index document at index time. 3. The query facets/facet filter parameters are specified at query time. Facets a...

For agents

This page has a .md twin and JSON over the API.

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