Deploy and Host FalkorDB on Railway

FalkorDB is a high-performance graph database purpose-built for GraphRAG, knowledge graphs, and AI/ML applications. It uses GraphBLAS for sparse adjacency matrix graph representation, delivering low-latency Cypher queries on highly connected data.

This template deploys a standalone FalkorDB instance with:

One FalkorDB service (server + browser UI)
A persistent Railway volume for data storage
Auto-generated connection variables (FALKORDB_PRIVATE_URL, FALKORDB_PUBLIC_URL, FALKORDB_PASSWORD, FALKORDB_HOST, FALKORDB_PORT)

Common Use Cases

GraphRAG for LLM Applications — Ground LLM responses in a structured knowledge graph to reduce hallucinations and improve retrieval accuracy
Agentic Memory — Give AI agents persistent, queryable memory across sessions using graph relationships
Recommendation Engines — Model user-item relationships and traverse them for real-time personalized recommendations
Fraud Detection — Detect suspicious transaction patterns through multi-hop graph traversal
Knowledge Management — Connect documents, concepts, and entities for intelligent enterprise search

Connecting to FalkorDB

After deployment, Railway injects connection variables into your services. Use FALKORDB_PRIVATE_URL for services running inside the same Railway project, and FALKORDB_PUBLIC_URL for external or local access.

Node.js / TypeScript

import { FalkorDB } from 'falkordb';

const db = await FalkorDB.connect({
  socket: {
    host: process.env.FALKORDB_HOST,
    port: Number(process.env.FALKORDB_PORT)
  },
  password: process.env.FALKORDB_PASSWORD
});

const graph = db.selectGraph('MyGraph');
await graph.query(`CREATE (:Person {name: 'Alice', role: 'Engineer'})`);

const result = await graph.query(
  `MATCH (p:Person) WHERE p.role = $role RETURN p.name`,
  { params: { role: 'Engineer' } }
);

db.close();

Python

import os
from falkordb import FalkorDB

db = FalkorDB.from_url(os.environ["FALKORDB_PRIVATE_URL"])
graph = db.select_graph("MyGraph")

graph.query("CREATE (:Person {name: 'Alice', role: 'Engineer'})")
result = graph.query(
    "MATCH (p:Person) WHERE p.role = $role RETURN p.name",
    {"role": "Engineer"}
)

redis-cli (quick test)

redis-cli -u "$FALKORDB_PUBLIC_URL" GRAPH.QUERY MyGraph "RETURN 'connected' AS status"

FalkorDB integrates with popular AI frameworks including LangChain, LlamaIndex, and GraphRAG-SDK.

Browser Interface

The FalkorDB Browser is included in this deployment. After deploying, click the public domain in your Railway service settings to open it. Use FALKORDB_PASSWORD from the Variables tab to log in.

Data Persistence

Your data is stored on a Railway volume mounted to the FalkorDB container. Data survives restarts and redeployments. For production workloads, configure Railway volume backups and review FalkorDB durability options.

Deploy FalkorDB