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.
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.