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FalkorDB

FalkorDB is a blazing fast graph database used for low latency & high throughput scenarios. Under the hood, it runs GraphBLAS to perform graph operations using sparse linear algebra.

Primary features

• Adopting the Property Graph Model
• Supports OpenCypher query language with proprietary extensions
• Offers Full-Text Search, Vector Similarly & Numeric indexing.
• Interacts via either RESP and Bolt protocols
• Graphs represented as sparse adjacency matrices
• Supports GraphRAG with the GraphRAG SDK for advanced graph reasoning and generative AI tasks.

Give it a try

Launch an instance using docker, or use FalkorDB Clouds

docker run -p 6379:6379 -p 3000:3000 -it --rm falkordb/falkordb:latest

Once loaded you can interact with FalkorDB using any of the supported client libraries

Here we'll use FalkorDB Python client to create a small graph representing a subset of motorcycle riders and teams taking part in the MotoGP league, once created we'll start querying our data.

{% capture python_code %} from falkordb import FalkorDB

Connect to FalkorDB

db = FalkorDB(host='localhost', port=6379)

Create the 'MotoGP' graph

g = db.select_graph('MotoGP')

Clear out this graph in case you've run this script before.

g.delete() g.query("""CREATE (:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}), (:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}), (:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'})""")

Query which riders represents Yamaha?

res = g.query("""MATCH (r:Rider)-[:rides]->(t:Team) WHERE t.name = 'Yamaha' RETURN r.name""")

for row in res.result_set: print(row[0]) # Prints: "Valentino Rossi"

Query how many riders represent team Ducati ?

res = g.query("""MATCH (r:Rider)-[:rides]->(t:Team {name:'Ducati'}) RETURN count(r)""")

print(res.result_set[0][0]) # Prints: 1 {% endcapture %}

{% capture javascript_code %} import { FalkorDB } from 'falkordb';

const db = await FalkorDB.connect({ // username: 'myUsername', // password: 'myPassword', socket: { host: 'localhost', port: 6379 } })

console.log('Connected to FalkorDB')

const graph = db.selectGraph('MotoGP')

await graph.query(CREATE (:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}), (:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}), (:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'}))

result = await graph.query(MATCH (r:Rider)-[:rides]->(t:Team) WHERE t.name = $name RETURN r.name, {params: {name: 'Yamaha'}})

console.log(result) // Valentino Rossi

console.log(await db.list()) console.log(await db.info())

db.close() {% endcapture %}

{% capture java_code %} package com.falkordb;

import com.falkordb.; import java.util.;

public class FalkorDBExample { public static void main(String[] args) { // Connect to FalkorDB Driver driver = FalkorDB.driver("localhost", 6379);

    // Select the graph
    Graph graph = driver.graph("MotoGP");

    // Create graph data
    graph.query("CREATE (:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}), " +
                "(:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}), " +
                "(:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'})");

    // Query with parameters
    Map<String, Object> params = new HashMap<>();
    params.put("name", "Yamaha");

    ResultSet resultSet = graph.query(
        "MATCH (r:Rider)-[:rides]->(t:Team) " +
        "WHERE t.name = $name RETURN r.name", params);

    // Process query results
    for (Record record : resultSet) {
        String riderName = record.getValue("r.name").toString();
        System.out.println(riderName); // Valentino Rossi
    }

    // Close the connection
    driver.close();
}

} {% endcapture %}

{% capture rust_code %} use falkordb::{FalkorClientBuilder, FalkorConnectionInfo};

#[tokio::main] async fn main() -> Result<(), Box> { // Connect to FalkorDB let connection_info: FalkorConnectionInfo = "falkor://127.0.0.1:6379" .try_into() .expect("Invalid connection info");

let client = FalkorClientBuilder::new_async()
    .with_connection_info(connection_info)
    .build()
    .await?;

// Select the 'MotoGP' graph
let mut graph = client.select_graph("MotoGP");

// Clear out this graph in case you've run this script before.
graph.delete().await?;

graph
    .query(
        r#"CREATE
       (:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}),
       (:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}),
       (:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'})"#,
    )
    .execute()
    .await?;

// Query which riders represent Yamaha?
let mut nodes = graph
    .query(
        r#"MATCH (r:Rider)-[:rides]->(t:Team)
             WHERE t.name = 'Yamaha'
             RETURN r.name"#,
    )
    .execute()
    .await?;

for node in nodes.data.by_ref() {
    println!("{:?}", node);
}

// Query how many riders represent team Ducati?
let mut nodes = graph
    .query(r#"MATCH (r:Rider)-[:rides]->(t:Team {name:'Ducati'}) RETURN count(r)"#)
    .execute()
    .await?;

for node in nodes.data.by_ref() {
    println!("{:?}", node);
}

Ok(())

} {% endcapture %}

{% include code_tabs.html id="code_tabs_0" python=python_code javascript=javascript_code java=java_code rust=rust_code %}

For additional demos please see visit Demos.

Client libraries

Language-specific clients have been written by the community and the FalkorDB team. The full list and links can be found on the Clients page.

Data import

When loading large graphs from CSV files, we recommend using falkordb-bulk-loader

Mailing List / Forum

Got questions? Please contact us at the FalkorDB forum.

License

FalkorDB is licensed under the the Server Side Public License v1 (SSPLv1).