Deploy PostgreSQL with pgvector for embeddings, semantic queries, hybrid application data, and RAG systems that benefit from SQL and vectors together.
Best for: Application teams already using PostgreSQL and developers building RAG.
What Postgres + pgvector gives you
- PostgreSQL relational database
- pgvector similarity search
- SQL filters with embedding queries
Popular ways to use it
- Add semantic search to application data
- Store RAG chunks and metadata
- Build hybrid relational and vector workflows
Choose resources for your workload
Plan backups and size memory and storage for both relational tables and vector indexes.
Every ARPHost AI application VPS includes one public IP address, configurable vCPU, memory and NVMe storage, and deployment in Tampa, Florida. You select the final resources during checkout.