Spring AI Chat Bot

This project demonstrates various AI functionalities using Spring AI. It includes capabilities for generating chat responses, handling JSON formatted data, creating images, describing images, loading real-time data via APIs with Open AI Functions, generating speech from text, and utilizing a vector store for custom data.

API POST-Requests:

General Message to AI

• URL: http://localhost:8080/api/generalMessage
• Description: Sends a general message to AI for a response.

Get Biggest Customers

• URL: http://localhost:8080/api/biggestCustomers
• Description: Retrieves the biggest customers for a given company in JSON format.

Get Headquarters for a Company

• URL: http://localhost:8080/api/companyHeadquarters
• Description: Gets the headquarters of a given company in JSON format.

Generate an Image from Text

• URL: http://localhost:8080/api/image
• Description: Generates an image from a given text using DALLE.

Load Real-Time Data via API

• URL: http://localhost:8080/api/weatherService
• Description: Uses AI functions to load actual data from an API request and generate a response.

Describe an Image

• URL: http://localhost:8080/api/describeImage
• Description: Uses OpenAI vision to describe the content of an image.

Generate Speech from Text

• URL: http://localhost:8080/api/talk
• Description: Generates speech from a given text.

Describe an Image with Speech

• URL: http://localhost:8080/api/describeImageWithSpeech
• Description: Describes an image with generated speech.

Use a Vector Store for Custom Data

• URL: http://localhost:8080/vectorstore/message
• Description: Uses a vector store to build embeddings on custom data.

Vector Store Setup in PostgreSQL

CREATE EXTENSION IF NOT EXISTS vector;
CREATE EXTENSION IF NOT EXISTS hstore;
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

CREATE TABLE IF NOT EXISTS vector_store (
    id uuid DEFAULT uuid_generate_v4() PRIMARY KEY,
    content text,
    metadata json,
    embedding vector(1536)
);

CREATE INDEX ON vector_store USING HNSW (embedding vector_cosine_ops);