samyama-ai/samyama-graph

Graph-vector database that queried 1 billion edges for $2.50. Rust, OpenCypher, vector search, 14 graph algorithms. 74M nodes / 1B edges on a single machine.

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Emerging

This helps researchers, analysts, and domain experts find hidden connections and insights within extremely large, interconnected datasets. You feed it complex, related data like scientific articles, clinical trials, or social networks, and it allows you to ask intricate questions about relationships, producing precise answers quickly. It's for anyone needing to explore vast knowledge graphs, such as biomedical researchers, fraud analysts, or supply chain strategists.

Use this if you need to query and analyze incredibly large, complex networks of data—tens of millions of items and a billion connections—on a single machine, with features like natural language querying and vector search.

Not ideal if your data is simple, unstructured, or doesn't have inherent relationships that benefit from being modeled as a graph.

biomedical-research fraud-detection supply-chain-optimization social-network-analysis cybersecurity-intelligence
No Package No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 11 / 25
Community 3 / 25

How are scores calculated?

Stars

44

Forks

1

Language

Rust

License

Apache-2.0

Category

agent-memory

Last pushed

Apr 04, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/samyama-ai/samyama-graph"

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