SeekStorm

SeekStorm is a lexical, vector, and hybrid search library and multi-tenant server written in Rust.

SeekStorm provides sub-millisecond lexical, vector, and hybrid search capabilities as an in-process library, multi-tenant server, or MCP server for AI agents. It uses two first-class engines behind one query planner, combining an inverted index with an IVF ANN index and fusing results with Reciprocal Rank Fusion. The software supports multiple field types, tokenizers for various languages, stemming, chunking, and integrated inference using Model2Vec. It is designed for developers building high-performance search applications, site search, and retrieval-augmented generation systems. Client SDKs are available for Rust, Python, C#, Java, and TypeScript.

SeekStorm at a glance

Best for: Software engineer
Runs on: Windows, Linux, macOS, API, self-hosted, open source
Pricing: Open source under the Apache License 2.0
Released: December 2024
Category: AI search engine
Website: github.com/seekstorm/seekstorm

Key features

Native hybrid search with inverted index and IVF ANN
BM25F and BM25FProximity lexical ranking
Multi-vector indexing and Model2Vec inference
True real-time search with immediate document availability
Faceted search with string and numeric range facets
Typo tolerance and query completion
Built-in Model Context Protocol server for AI agents
RESTful API with CORS and client SDKs

Use it for

Build product and site search with facets and typo tolerance
Implement retrieval-augmented generation and agent retrieval
Search over JSON, CSV, NDJSON, and PDF files
Embed search directly inside applications without a server

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