KMJ-007/VecPuff

vector database built on top of S3, inspired by turbopuffer

27
/ 100
Experimental

VecPuff helps developers experiment with and learn about building scalable vector search systems. It takes raw vector data, along with optional metadata, and stores it in a way that allows for efficient similarity searches. This project is ideal for engineers and architects looking to understand the underlying mechanics of vector databases built on cloud object storage.

Use this if you are a developer or architect interested in understanding and experimenting with the architecture of a scalable vector database, particularly one built on S3.

Not ideal if you need a production-ready vector database with extensive features, enterprise support, or a fully managed service.

vector-search-architecture cloud-storage-optimization distributed-data-systems scalable-search-engineering
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

8

Forks

Language

Rust

License

MIT

Last pushed

Mar 07, 2026

Commits (30d)

0

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