I built VittoriaDB as a simple alternative to complex cloud vector databases. It's a single Go binary that works immediately after download - no Docker, no configuration, no cloud dependencies.
Key features:
- HNSW indexing with <1ms search times for 1M vectors
- ACID-compliant storage with Write-Ahead Log
- REST API + Python client
- Cross-platform releases (Linux, macOS, Windows)
- Perfect for RAG applications and local AI development
The motivation was simple: existing vector databases are either too complex for local development or too limited for production. VittoriaDB bridges that gap.
cabirum•5mo ago
You seem to have committed files that do not belong to the repo: . DS_Store, a binary in build/, and the releases/ directory and its contents.
antonellof•5mo ago
Yes, thanks, good catch, i've just edit the gitignore, in case you are interested please open a PR or contribute, the project is very very fresh!
antonellof•5mo ago
Key features:
- HNSW indexing with <1ms search times for 1M vectors
- ACID-compliant storage with Write-Ahead Log
- REST API + Python client
- Cross-platform releases (Linux, macOS, Windows)
- Perfect for RAG applications and local AI development
The motivation was simple: existing vector databases are either too complex for local development or too limited for production. VittoriaDB bridges that gap.