Sample Spring AI Application with several use cases
Samples showing architectural patterns for Modular RAG using Spring AI and Ollama.
Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math
Retrieval Augmented Generation, Function Calling and Code Generation on GitHub Projects with Java
LiSSA: A Framework for Generic Traceability Link Recovery
Samples showing a Java Spring Backend Application powered by Ollama's Generative AI and LLMs using Spring AI
A chat-based AI travel planning assistant that helps users create personalized travel itineraries using real-time data from TripAdvisor
OAuth2 Authorization Server with Spring Boot 3 and Java 24
Retrieval Augmented Generation using LangChain4j on Apache Karaf with LocalAI
A Spring Boot application that leverages Retrieval-Augmented Generation (RAG) to provide ABNT (Brazilian Technical Standards Association) bibliographic reference formatting assistance using OpenAI's GPT-4 model and ChromaDB for vector storage.
Simple Spring AI with Retrieval-Augmented Generation (RAG)
Backend of LLAMARA - the Large Language Assistant for Model-Augmented Retrieval and Analysis
Building an AI-Powered Chat Application with Spring AI 1.0, Ollama, and RAG: A Practical Guide
Talk to your local LLM using ollama and spring AI
A RAG-powered financial advisor agent developed with the Spring framework.
DevOpsGPT is a Spring Boot-based application that leverages AI to assist with DevOps, cloud computing, and software engineering tasks. It provides intelligent responses to user queries, integrates Retrieval-Augmented Generation (RAG) for context-aware answers, and supports advanced dialogue management.
A web application which comprises an Instagram clone. Most importantly, it includes an AI chatbot which retrieves customized information for queries through Retrieval-Augmented Generation from datasets in real time.
RAG powered multimodal Q&A application.
🗺️ Visualize and explore large embeddings interactively, enabling easy navigation, clustering, and density analysis of your data.
Aplicação desenvolvida em Java com Spring Boot, que combina duas funcionalidades principais: a ingestão de arquivos PDF, processando e armazenando informações em um banco de dados, e uma API REST para interação com um cliente de chat, permitindo consultas dinâmicas e respostas automatizadas.
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