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samyama-graph

samyama-graph

Active·★ 63·Apache-2.0·Updated 2026-05-28

★ Trending★ RAG / Knowledge Base★ Data Processing

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.

Samyama is a graph-vector database written in Rust. It supports OpenCypher queries, Redis protocol, vector search, and graph algorithms. It can handle billions of edges on a single machine.

#billion-edges#cypher#cypher-query-language#graph-algorithms#graph-database#graph-rag#hnsw#knowledge-graph

$ Install

$ git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release

↗ Visit site ★ GitHub

01

Features

01OpenCypher queries

02Redis protocol

03Vector search (HNSW)

04Graph algorithms (PageRank, BFS, etc.)

05Natural language queries (NLQ)

02

Compatibility

Redis

Redis protocol

Verified via docs

OpenCypher

OpenCypher ~90%

Verified via docs

03

Quick start

1

$ git clone https://github.com/samyama-ai/samyama-graph

2

$ cd samyama-graph

3

$ cargo build --release

04

Use cases

↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)

↳Multi-hop graph traversals

↳Cross-knowledge graph aggregation

05

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Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clustering. AI-native via MCP tool surface and relay bridge. Fully client-side, no backend required.

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Related searches

samyama-graph Alternatives Best RAG / Knowledge Base Tools 2026 Open Source RAG / Knowledge Base samyama-graph Tutorial samyama-graph Vs Competitors billion-edges cypher cypher-query-language

Comments

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S
Shawn WhiteApr 30, 2026
The Rust and OpenCypher combination gives both speed and a familiar query interface
S
Sutton JohnsonApr 23, 2026
Graph-vector hybrid queries are powerful for knowledge representation use cases
E
Emerson MartinezApr 2, 2026
Querying 1 billion edges for $2.50 is an impressive cost-performance benchmark
R
Riley JacksonMar 14, 2026
Used for large-scale knowledge graph applications, the cost efficiency is real

On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

Stats

GitHub Stars★ 63

Last commit2d ago

StatusActive

LicenseApache-2.0

CategoryRAG / Knowledge Base

Trend (30d)

+2.5↑ 0.7%

Links

Documentation↗Discussion↗Issues↗Releases↗

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