Deploy and Host FalkorDB on Railway

FalkorDB is a low-latency graph database that speaks the Redis protocol and answers openCypher queries. It is the store behind GraphRAG and agent-memory stacks: entities and relationships in a graph, queried in milliseconds, from any Redis client.

This template runs FalkorDB 6.0 as a single service from a digest-pinned official image: the Redis port on a Railway TCP proxy, the FalkorDB Browser on a public domain, and all data on a Railway volume with append-only persistence.

About Hosting FalkorDB

A password is required from the first connection. A stock falkordb/falkordb container has no password, so anyone who can reach port 6379 can read, write and delete every graph. Here a password is generated per deploy and anonymous connections are rejected.
Data survives redeploys. The append-only file lives on the attached volume; a graph written before a redeploy was read back after it.
Memory and threads follow your plan. The start command reads the container's memory and CPU limits and passes maxmemory (60% of the limit) and the query thread count, instead of the host's figures that Railway containers report.
Two ways in. Services in the same project use the private URL; clients elsewhere use the TCP proxy URL.

Common Use Cases

GraphRAG and knowledge graphs for LLM applications
Agent memory stores that keep entities and relations between sessions
Fraud, recommendation and dependency-graph queries
A drop-in server for existing Redis-protocol FalkorDB and RedisGraph clients

Dependencies for FalkorDB Hosting

One Railway volume for the data directory (created by the template)

Deployment Dependencies

FalkorDB documentation: https://docs.falkordb.com
Official image: https://hub.docker.com/r/falkordb/falkordb

Implementation Details

Variable	Purpose
`FALKORDB_PASSWORD`	Password for connections, generated per deploy.
`FALKORDB_PRIVATE_URL`	`redis://` URL on the private network, for services in the same project.
`FALKORDB_PUBLIC_URL`	`redis://` URL on the TCP proxy, for clients outside Railway.

Python:

from falkordb import FalkorDB
db = FalkorDB(host="", port=, password="")
g = db.select_graph("social")
g.query("CREATE (:Person {name:'ada'})-[:KNOWS]-&gt;(:Person {name:'bob'})")

Why Deploy FalkorDB on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying FalkorDB on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.