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<h1 align="center">Samyama Graph</h1>
<p align="center">A Rust-native graph-vector database for GraphRAG, knowledge graphs, and billion-edge analytics.</p>
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<strong>The graph database that queried 1 billion edges for $2.50</strong>
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<a href="https://github.com/samyama-ai/samyama-graph/releases"><img src="https://img.shields.io/badge/version-1.1.0-blue" alt="Version"></a>
<a href="https://github.com/samyama-ai/samyama-graph/actions"><img src="https://img.shields.io/badge/tests-2238_passing-brightgreen" alt="Tests"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache_2.0-blue" alt="License"></a>
<a href="https://graph.samyama.cloud/book/"><img src="https://img.shields.io/badge/book-read_the_docs-orange" alt="Book"></a>
<a href="https://chat.whatsapp.com/Jjjkb3uWRDi1YMdfffaD9d"><img src="https://img.shields.io/badge/community-WhatsApp-25D366?logo=whatsapp&logoColor=white" alt="WhatsApp Community"></a>
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💬 <strong><a href="https://chat.whatsapp.com/Jjjkb3uWRDi1YMdfffaD9d">Join the Samyama OSS community on WhatsApp</a></strong> — questions, help, and updates.
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What is Samyama Graph?
Samyama Graph is a Rust-native graph-vector database that lets developers store, query, search, and analyze connected data in one system.
It brings together graph traversal, OpenCypher-style querying, vector search, graph algorithms, and Redis-compatible access, making it useful for GraphRAG, knowledge graphs, AI agent memory, and large-scale relationship analytics.
Quickstart
Option 1 — Run with Docker Compose
Step 1 — Prerequisites
- ✅ Docker Desktop installed and running — Watch setup video →
- ✅ No AWS account or credentials needed — the image is publicly available
Step 2 — Pull the Docker image
docker pull public.ecr.aws/f9f6l5u4/samyama-graph:1.1.0
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