{"repo":"rustic-ai/uni-db","free":true,"listed":false,"github":"https://github.com/rustic-ai/uni-db","clone":"git clone https://github.com/rustic-ai/uni-db.git","description":"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.","language":"Rust","stars":47,"topics":["agentic","columnar","columnar-storage","database","embedded-database","graph","graph-algorithms","graph-database","knowledge-management","python-library"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"Uni: Embedded Graph & Vector Database Uni is an embedded database that combines a property graph (OpenCypher), vector search, and columnar storage (Lance) into a single engine. Designed for applications requiring local, fast, multimodal data access with object storage (S3/GCS/local) durability. Part of The Rustic Initiative by Dragonscale Industries Inc. Key Features - Embedded & Serverless: Runs as a library within your application — no server process. - Property Graph: OpenCypher queries with MATCH, CREATE, WHERE, ORDER BY, LIMIT, and aggregations. - Serializable Transactions: Snapshot isolation + optimistic concurrency control, on by default — conflicting concurrent commits abort with a retriable error instead of silently losing writes. - Locy Reasoning: Datalog-style recursive rules over the graph, with probabilistic semantics and neural predicates. - Vector Search: K-NN similarity search (L2, cosine) with pre-filter and threshold support, plus hybrid vector + BM25 fusion. - Columnar Storage: Lance-backed persistence on local disk or object storage (S3/GCS). - Graph Algorithms: PageRank, Louvain, shortest path, and more via the built-in algorithm library. - Forks: Named, durable, writable graph branches with nesting, TTL, structural diff, and content-UID-keyed write-audit-publish promotion to primary. See website/docs/features/forks.md . - Rust & Python: Native Rust crate and Python bindings (PyO3). Getting Started Rust Add to your Cargo.toml : Python Vector Search Async ","default_branch":null,"files":null,"tree":[],"storefront":"/r/rustic-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rustic-ai/uni-db/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}