ShadylukinShadylukinCommunityยท8 Agent Skills Included

Neumann

Unified relational, graph, and vector database querying

Stores tables, graphs, and vector embeddings in one database and queries across all three in a single statement. Eliminates the need to juggle separate SQL, graph, and vector databases with ETL pipelines and glue code. Covers schema design, query writing, data migration, production deployment, and troubleshooting for faster application delivery.
npx skills add Shadylukin/Neumann --all -g -y

All Skills in This Repository (8)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install Neumann?โ–ผ

Run `npx skills add Shadylukin/Neumann --all -g -y` in your terminal to install all skills in this suite globally.

What is Neumann database used for?โ–ผ

Neumann is a multi-model database that stores relational tables, graph relationships, and vector embeddings in one system. It lets you run a single query that combines SQL filters, graph traversal, and similarity search.

How to combine vector search and graph traversal?โ–ผ

Use commands like SIMILAR with CONNECTED TO to restrict similarity results to graph neighbors, or NEIGHBORS with BY SIMILARITY to rank connected nodes by vector distance. The skills in this suite show the exact syntax and common pitfalls.

Can I migrate from PostgreSQL or Neo4j to Neumann?โ–ผ

Yes. The migration skill maps tables, documents, graph data, and vectors from PostgreSQL, MySQL, MongoDB, Neo4j, Pinecone, and Redis into Neumann with batch import commands and verification steps.

Does Neumann work with Python and TypeScript?โ–ผ

Yes. Official SDKs exist for Rust, Python, and TypeScript, all connecting over gRPC on port 9200 with the same query language across every client.

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