SeekStorm
SeekStorm offers vector and full-text search as a Rust library, self-hosted server or managed cloud service.
About SeekStorm
SeekStorm provides vector and full-text search implemented in Rust. It is available as an embeddable library, a self-hosted server with a REST API, and a managed cloud service, with the same binary index usable across those options.
It supports combined BM25 lexical and vector queries in one index, real-time indexing, spelling correction, custom ranking, faceted search, and Latin, Cyrillic, CJK, and Arabic scripts. It also offers a crawler API for extracting structured data from websites and an MCP server for agent use.
Key features
- Hybrid BM25 lexical and vector search in one query
- Portable binary index across library, server, and cloud
- Real-time indexing with documents searchable on indexing
- Website crawler with structured data extraction and recrawl schedules
- MCP server for use with agent tools
- Faceted search using value and range facets
Best for: Developers and teams adding full-text, vector, or hybrid search to applications or AI workflows.
Good for
- Open source with permissive license
- Same binary index works across library, self-hosted server, and cloud without re-indexing
- Available as embeddable library, self-hosted server, or managed cloud
SeekStorm at a glance
- Website
- seekstorm.com
- Category
- Development › Developer Tools
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Yes
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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SeekStorm FAQ
Can the same index be used across different deployment types?
Yes, the same binary index moves between the embedded library, self-hosted server, and managed cloud without re-indexing or export/import.
What does the Crawler API do?
It converts website pages into structured, searchable JSON, strips boilerplate, extracts schema.org and Open Graph data, and supports recrawl schedules.
How does SeekStorm support AI and agent use?
It combines lexical and vector search in one index, offers real-time indexing, and provides an MCP server for MCP-compatible agents.
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