samyama-graph
Enables cost-effective similarity search at scale on graph-structured data with native vector capabilities, reducing infrastructure spend and latency for com…
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.
- Query complex relationship patterns across millions of nodes in milliseconds for network analysis.
- Find similar entities using vector search combined with graph structure for recommendation systems.
- Run graph algorithms like shortest path and centrality on billion-edge datasets cost-effectively.
Enables cost-effective similarity search at scale on graph-structured data with native vector capabilities, reducing infrastructure spend and latency for complex relationship queries enterprise teams currently handle across multiple systems.
Data platform teams building recommendation engines, knowledge graphs, or fraud detection systems requiring sub-second queries on billion-scale relationships.
https://github.com/samyama-ai/samyama-graph
By samyama-ai
How to Get It
claude plugins install samyama-ai/samyama-graph
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me query complex relationship patterns across millions of nodes in milliseconds for network analysis
Trust Signals Auto-scanned
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Reviewer notes
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Scored from trust signals (evidence-eval-v1): 167 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 167 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.