pip install neug

npm install @graphscope-neug/neug

import neug

db = neug.Database("/path/to/database")
db.load_builtin_dataset("tinysnb")

conn = db.connect()

# Find triangles in the graph
result = conn.execute("""
    MATCH (a:person)-[:knows]->(b:person)-[:knows]->(c:person),
          (a)-[:knows]->(c)
    RETURN a.fName, b.fName, c.fName
""")

for record in result:
    print(f"{record[0]}, {record[1]}, {record[2]} are mutual friends")

# Switch to service mode
conn.close()
db.serve(port=8080)

const { Database } = require('@graphscope-neug/neug');

const db = new Database({ databasePath: '', mode: 'w' });
const conn = db.connect();

conn.execute("CREATE NODE TABLE person(id INT64, fName STRING, PRIMARY KEY(id));");
conn.execute("CREATE REL TABLE knows(FROM person TO person);");
conn.execute("CREATE (:person {id: 1, fName: 'Alice'}), (:person {id: 2, fName: 'Bob'}), (:person {id: 3, fName: 'Carol'});");
conn.execute("MATCH (a:person {id: 1}), (b:person {id: 2}), (c:person {id: 3}) CREATE (a)-[:knows]->(b), (b)-[:knows]->(c), (a)-[:knows]->(c);");

// Find triangles in the graph
const result = conn.execute(`
    MATCH (a:person)-[:knows]->(b:person)-[:knows]->(c:person),
          (a)-[:knows]->(c)
    RETURN a.fName, b.fName, c.fName
`);

for (const record of result) {
    console.log(`${record[0]}, ${record[1]}, ${record[2]} are mutual friends`);
}

conn.close();
db.close();

We apply an AI-assisted Spec-Driven workflow inspired by GitHub Spec-Kit:

• 🐛 Bug Reports: Use /create-issue command in your IDE, or submit an issue manually
• 💻 Pull Requests: Use /create-pr command in your IDE, or submit a PR manually

For more details, see the AI-Assisted Development Guide.