jiacai2050/vsag-sqlite
An vector search SQLite extension baked by VSAG.
This helps developers integrate high-speed similarity search directly into their SQLite databases. You input numerical vectors (like embeddings from text or images) into a virtual table, and it efficiently finds the closest matching vectors. This is designed for developers who are building applications that need to quickly find similar data points within a local SQLite database.
No commits in the last 6 months.
Use this if you are a developer building an application that uses SQLite and requires fast 'nearest neighbor' style searches on vector data.
Not ideal if you need a full-fledged vector database with advanced features like filtering, complex queries, or distributed capabilities.
Stars
7
Forks
—
Language
Rust
License
Apache-2.0
Category
Last pushed
Dec 16, 2024
Commits (30d)
0
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