rustic-ai/uni-db
Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.
Built on Lance for columnar persistence, Uni executes OpenCypher queries with native graph algorithms (PageRank, Louvain, shortest path) and supports K-NN vector search with pre-filtering via stored procedures. The project provides async APIs and a Pydantic-based OGM (uni-pydantic) for schema-driven Python development, enabling embedded graph-vector workloads without external services.
Stars
8
Forks
2
Language
Rust
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Monthly downloads
34
Commits (30d)
0
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