Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
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Updated
May 24, 2024 - Java
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.
Spring Boot application that allows users to search for traditional Moroccan dishes and retrieve their recipes along with mouthwatering images. Built with Spring Boot, Spring AI, and Hilla
A dynamic learning assistant designed to simplify the onboarding and training process for new hires. Users can upload documents or enter URLs for training materials. Built with Spring Boot, @langchain4j and spring-ai
An agent framework using Spring AI
AI implementation using langchain4j and springAI frameworks with Java
Use Spring AI to Build A Sports Stats API
TalkforgeAI - AI-Powered Chatbot Creation Tool
Simple Spring AI with Retrieval-Augmented Generation (RAG)
Minimal chat application using Spring AI.
ISI is a highly advanced artificial intelligence system designed to provide assistance and facilitate interactive interactions. With its machine learning capability and wide range of features, ISI becomes an invaluable ally for complex tasks and decision-making processes.
Simple local RAG sample using Spring-AI, Ollama LLMs and Vespa-AI
Playground repo for testing Spring Boot's reactive stack paired with Kotlin
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