AI-ready Spring Boot services on PostgreSQL + pgvector.
generator-jhipster-ai-postgresql — A JHipster blueprint for AI-ready Spring Boot services on PostgreSQL with pgvector — vector-embedding columns and Spring AI integration generated from your data model.
generator-jhipster-ai-postgresql is an MIT-licensed JHipster blueprint that generates Spring Boot services on PostgreSQL with the AI plumbing already in place: pgvector embedding columns on the entities you choose, and Spring AI integration wired into the generated service layer.
It closes the gap between "we have a data model" and "our data is semantically searchable" — the blueprint generates the vector columns, the embedding plumbing, and human-readable foreign-key fields, so similarity search over your own entities works from the first build.
What you get
- pgvector embedding columns generated from your JDL model
- Spring AI integration wired into the generated services
- Semantic (vector similarity) search over your own entities
- Human-readable foreign-key fields for friendlier APIs and UIs
- MIT licensed, published on npm, maintained by Saathratri
Quickstart
npm install -g generator-jhipster generator-jhipster-ai-postgresql
jhipster --blueprints ai-postgresql jdl your-service.jdlGenerate a PostgreSQL-backed service whose chosen entities carry vector embeddings and Spring AI wiring from day one.
Compatibility
JHipster 9.x · Node.js 20+ · Java 21 · PostgreSQL with pgvector
Maintained by Saathratri
Built and maintained by Saathratri, LLC — hospitality software that works the night shift. This blueprint generates the same kind of services that power the Saathratri platform in production; improvements land in the public package first. Issues and pull requests welcome on GitHub.
Questions about the blueprints?
File an issue on GitHub for bugs and features — or reach us through the contact form for anything else.
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