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rustic-airustic-aiOfficial·1 Agent Skills Included

uni-db

Embedded graph database with vector search and reasoning

Stores and queries property graphs, vectors, and documents in one embedded engine with no server required. Runs OpenCypher queries, Locy recursive reasoning, hybrid vector and full-text search, and 36+ graph algorithms. Eliminates the need to combine separate graph, vector, and search databases for local-first applications. Provides Rust and Python APIs with transactions, forks, and a Pydantic OGM for fast development.
41|5
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npx skills add rustic-ai/uni-db --all -g -y
Available:

Gives your AI agent the repository layout, build and test commands, and strict safety rules such as never running git commands without explicit user permission.

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rustic-airustic-ai

uni-db

Design schemas, construct OpenCypher graph queries, and implement Locy logic rules.

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Frequently Asked Questions

FAQPage Schema
How to install uni-db?▼

Run `npx skills add rustic-ai/uni-db --all -g -y` in your terminal to install the skill globally for your agent.

What is uni-db used for?▼

It is an embedded database that combines property graphs, vector search, and columnar storage in one engine. You query it with OpenCypher or the Locy reasoning language from Rust or Python.

Does uni-db need a database server?▼

No. It runs as a library inside your application with local disk or S3/GCS object storage for durability.

Can uni-db do vector and hybrid search?▼

Yes. It supports K-NN vector search with multiple index types, BM25 full-text search, and hybrid queries that fuse both with RRF ranking.

Does uni-db work with Python?▼

Yes. Install it with pip and use the sync or async API, plus an optional Pydantic OGM for modeling nodes and relationships as Python classes.

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