🔍 Spring AI Multitool

This project showcases the integration of Redis Vector Store with Spring AI to build advanced AI-powered features.

Features include:

🧠 RAG (Retrieval-Augmented Generation) leveraging Redis Vector Store and OpenAI for enhanced contextual responses

🔎 Vector similarity search using OpenAI embeddings for fast and relevant data retrieval

🖼️ Text-to-image generation powered by DALL·E for creative visuals

📸 AI-powered image description from uploaded images

🎙️ Speech-to-Text transcription using OpenAI’s audio recognition model

🔈 Text-to-Speech conversion that returns audio output for seamless voice interaction

📋 List extraction from LLM responses using Spring AI's ListOutputConverter for structured outputs (e.g., top movie lists)

🗂️ Mapping LLM responses into Java objects Using Spring AI converters like BeanOutputConverter and ListOutputConverter to transform JSON or structured LLM responses into Java Beans or lists for easier processing.

Requirements

• Java 17 or higher
• Docker installed (to run Redis Stack)

Running Redis Stack

To use vector search features, start Redis Stack with this command:

docker run -d --name redis-stack -p 6379:6379 redis/redis-stack:latest

Configuration

Copy application.example.properties to application.properties and fill in your settings such as Redis connection details and OpenAI API key.

🚀 API Endpoints

Method	Endpoint	Description	Params
GET	/api/{message}	Simple chat completion	message: string
POST	/api/ask	RAG-based Q&A from Redis vector DB	query: string
POST	/api/product	Semantic product search	text: string
POST	/api/embedding	Get embedding vector for a given text	text: string
POST	/api/similarity	Semantic similarity between two texts	text1, text2: string
POST	/api/recommend	Movie recommender by type, year, lang	type, year, lang: string
GET	/image/{query}	Generate an image from text prompt	query: string
POST	/image/describe	Get AI-generated description of an image	query: string, file: image file (.jpeg)
POST	/api/stt	Speech to text transcription	file: audio file (.mp3, .wav, etc.)
POST	/api/tts	Convert text to speech (returns audio)	text: string
GET	/movies	Get Array of top 5 movies using ListOutputConverter	name(actor): string
GET	/movie	Get detailed movie data mapped to a Java Bean using BeanOutputConverter	name: string (actor or movie name)