The AI-based service to make recommendations based on user documents
The application is designed as a service with no user interface.
Once the application is started, it will automatically load documents from the classpath (see application.yml) into
the Milvus vector database. Then you can make POST requests to /ask/open-ai.
API documentation will be available once the application is started
MinIO (Multi-Cloud Object Store) will be available once the application is started.
Login: minioadmin, Password: minioadmin
Java- version21Maven- for building the applicationSpring Boot- version3.4.3Spring AI- version1.0.0-M6, modelgpt-4-turboSpring AI Tika- for extract metadata and text from documentsSpring Boot Maven Plugin- for create Docker-ImageDocker-Compose- infrastructureMilvus- vector database
spring-ai-with-openai-and-milvus-in-action/
├── src/main/
| ├── java/com/dudko/example/
| | ├── bootstrap/
| | ├── config/
| | ├── controller/ # controllers
| | ├── model/ # service level of the domain, used in business logic and controllers
| | ├── service/ # business logic
| ├── resources/
| | ├── templates/ # prompt and system message
| | ├── application.yml # configs
├── compose.yml # docker-compose file
├── pom.xml # artifact of Maven
├── postman_collection.json # collection of requests for Postman
❗Don't forget to set the OPENAI_API_KEY environment variable before running the application.
docker-compose -f compose.yml upAnatoly Dudko