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Samyama Graph

A Rust-native embedded graph-vector database that combines OpenCypher-style querying, vector search and graph algorithms in one system for GraphRAG, knowledge graphs and large-scale relationship analytics.

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Samyama Graph

Samyama Graph stores, queries, searches and analyzes connected data by bringing together graph traversal, an OpenCypher-compatible query language, vector search, graph algorithms and Redis-compatible (RESP) access alongside an HTTP API.

It passes 99.9% of the openCypher Technology Compatibility Kit's evaluated scenarios, completes the LDBC Social Network Benchmark's Interactive and Business Intelligence workloads without timeouts, and has been run with a billion edges on a single machine. It is distributed as a Docker image, and queries are sent over HTTP with parameters kept separate from query text.

It targets use cases such as GraphRAG, knowledge graphs, AI agent memory and relationship analytics, and is written in Rust under an Apache-2.0 license.

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