PhilipJohnBasile/vecstore
Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.
This tool helps developers embed fast, intelligent search directly within their applications or even web browsers, without needing a separate server. It takes in various types of data (documents, images, text) as 'vectors' and associated information, and quickly finds the most relevant results based on meaning or keywords. It's ideal for developers building applications that need privacy-focused, offline-capable, or edge-based semantic search.
Use this if you are a developer building an application that needs to perform fast, intelligent searches directly on the user's device or within a browser, without relying on external servers.
Not ideal if you need a fully managed, scalable, cloud-based vector database solution for large-scale, multi-user enterprise applications.
Stars
12
Forks
2
Language
Rust
License
Apache-2.0
Category
Last pushed
Feb 03, 2026
Monthly downloads
44
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/PhilipJohnBasile/vecstore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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