# SeekStorm/SeekStorm

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Repository: https://github.com/SeekStorm/SeekStorm
Canonical: https://ross.abutalabs.com/products/seekstorm
Homepage: https://seekstorm.com
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: enterprise-search, full-text-search, search, search-engine, search-server, search-service, bm25, realtime, lexical-search, sparse-retrieval, faceting, geosearch, neural-search, semantic-search, vector-database, vector-search, vector-search-engine, ai-search, hybrid-search, dense-retrieval
Last push: 2026-08-23T07:57:20+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 65
- inputs: {"age_days": 918, "days_push": 10, "days_rel": 10, "gap_med": 3.5, "n_releases_24m": 87}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1908, forks 68 (observed 2026-08-28T04:05:52.693641+00:00)

## What it is
SeekStorm is a sub-millisecond vector and lexical search engine written in Rust, available both as an in-process library and a multi-tenancy search server with a REST API. It supports true real-time indexing, hybrid search, faceting, spelling correction, and instant search at web scale.

## Use cases
- add full-text search to my application
- hybrid vector and keyword search engine
- self-hosted search as a service
- build instant search with autocomplete and spelling correction
- multi-tenant search server for many customers
- real-time search over millions of documents
- embed a fast search engine in a Rust application
- semantic search with dense and sparse retrieval

## When to choose
- you need sub-millisecond, true real-time search with zero soft-commit delays
- you want both vector (dense) and lexical (BM25) search in one engine
- you need multi-tenancy and web-scale indexing with low RAM/disk footprint
- you prefer an embeddable in-process Rust library instead of running a separate service
- you want instant search with fast spelling correction and query completion

## When to avoid
- your project is built in a language without Rust or Python client support
- you need a mature ecosystem with extensive third-party plugins and integrations
- you only need simple search over a small dataset where SQLite or a basic solution suffices
- you require long-term stability guarantees - the project is still a work in progress

## Facets
- artifact type: library
- maturity: active
- function: search-engine, vector-database, http-server, http-client, api-framework
- domain: databases, artificial-intelligence, developer-tools, apis
- platform: rust, python, self-hosted, cross-platform
- tags: full-text-search, bm25, hybrid-search, semantic-search, multi-tenancy, faceting, geosearch, instant-search, spelling-correction, real-time-indexing, search-as-a-service, rest-api, search, docker, web-server

## Member repositories
- SeekStorm/SeekStorm (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:52.693641+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:11:11.422288+00:00, confidence not recorded.
  - readme: https://github.com/SeekStorm/SeekStorm (fetched 2026-08-28T04:05:52.693641+00:00, sha 83fe0494e25f)
  - homepage: https://seekstorm.com (fetched 2026-08-29T10:50:19.024167+00:00, sha e106d088cb91)
  - site_page: https://seekstorm.com/docs (fetched 2026-08-29T10:50:19.033567+00:00, sha 140f9b2041aa)
  - site_page: https://seekstorm.com/getting-started (fetched 2026-08-29T10:50:19.035674+00:00, sha ccaec8e9ce85)
  - site_page: https://seekstorm.com/search-api-features (fetched 2026-08-29T10:50:19.037934+00:00, sha 5f7061ace3d9)
  - registry_crates: https://crates.io/api/v1/crates/seekstorm (fetched 2026-08-29T10:50:19.039850+00:00, sha 9c086fd9c6ed)
- Data as of 2026-08-30T08:39:29.467469+00:00.