Deploy and Host pgvector on Railway

What is pgvector?

pgvector is an open-source PostgreSQL extension that adds support for vector data types, enabling efficient storage, indexing, and similarity search of machine learning embeddings directly within your Postgres database. It is widely used for AI and ML workflows, allowing developers to perform vector similarity queries natively alongside standard SQL operations.

About Hosting pgvector

Hosting pgvector involves deploying a PostgreSQL server with the pgvector extension enabled. This typically entails provisioning a managed PostgreSQL instance, configuring resources to handle high-throughput vector operations, and applying the extension during the database initialization. On Railway, deploying pgvector is streamlined: you can spin up a scalable Postgres instance, enable the extension in one click, and manage environment variables and backups through Railway’s dashboard. With built-in scaling, monitoring, and rolling updates, your vector database stays both fast and reliable, serving demanding AI workloads without manual server management.

Common Use Cases

Building semantic search engines using text or image embeddings
Powering recommendation systems with vector similarity
Storing and querying embeddings for generative AI retrieval-augmented generation (RAG) pipelines

Dependencies for pgvector Hosting

PostgreSQL (supported versions)
pgvector extension (to enable vector functions and indexing)

Deployment Dependencies

For more details and templates:

Why Deploy pgvector 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 pgvector 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.