GEN-AI

Few easy steps to integrate an AI Chat Model into a Spring Boot web application using Spring AI:

1. Create a Spring Boot web application.

2. Develop a REST API within the application to facilitate communication with the AI model.

3. Implement an Angular or React frontend to provide the user interface for the web application.

Prerequisites:
JDK 11+
Maven or Gradle
Basic understanding of AI/ML concepts
AI Chat Model API key and details from an AI model provider (e.g., OpenAI or Gemini)
Familiarity with a frontend framework like Angular or React

Steps:

1. Create a Spring Boot project using [Spring Initializer] (http://start.spring.io).

2. Select and add the following dependencies:

‘spring-boot-starter-web’ for RESTful services
‘spring-boot-starter-ai‘ or ‘spring-ai-openai-spring-boot-starter‘ for integrating AI models
‘jackson-databind‘ for JSON processing

3. Configure the application settings in ‘application.yml’ or ‘application.properties‘ with your API key.

4. Create a ‘ChatClient‘ bean or custom classes/interfaces for the ChatClient in Spring AI.

5. Develop a service class using the ChatClient implementation to interact with the AI model, including:

Adding HTTP request headers:

ContentType = MediaType.APPLICATION_JSON

Authorization = “Bearer AI_Model_API_Key”

Model = gpt-3.5-turbo (AI Model Name)

Temperature = 1 (Fine-Tuning Parameter)

max_tokens = 111 (Fine-Tuning Parameter)

messages in the following JSON schema format:

[ {“role“: “user”, “content“: “<User-Input-Prompt>”} ]

(Rest Api Call Request_Body Schema)

6. Create a RestController to enable the ChatClient functionality as API.

Ex – “/api/ai/chatbot”.

7. Create a SPA-GUI to invoke RestController using Angular or React etc.

8. Configure CORS to enable communication between the frontend and backend (RestAPI).

Chat_Model interaction steps –

Get Response from AI_Model-Prpvider.