PostgreSQL with pgvector, an open source vector similarity database for embeddings, semantic search and retrieval augmented generation.
This appliance pairs the PostgreSQL relational database with the pgvector extension, turning a proven SQL engine into a first class vector store. Alongside ordinary tables you can store high dimensional embeddings in a dedicated vector column, build approximate nearest neighbour indexes, and run similarity queries that rank rows by distance to a query vector. Because it is just PostgreSQL, you keep transactions, joins, SQL and the entire driver and tooling ecosystem while adding semantic capabilities.
It suits retrieval augmented generation over your own documents, semantic and hybrid search, recommendation and deduplication, and any application that needs to combine relational data with similarity over embeddings, all on CPU with no GPU required.
cloudimg ships PostgreSQL with pgvector already installed and the extension enabled in a ready to use database, so you can create a vector table and run a nearest neighbour query in minutes. There is no default password to change: on first boot each instance generates its own database password and its own TLS certificate, written to a file only the root user can read, and remote connections are accepted only over TLS. The paired deployment guide walks through connecting, indexing embeddings and running similarity search, and every instance carries 24/7 support.