Sample Spring AI Application with several use cases

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

A chat-based AI travel planning assistant that helps users create personalized travel itineraries using real-time data from TripAdvisor

Samples showing a Java Spring Backend Application powered by Ollama's Generative AI and LLMs using Spring AI

Samples showing architectural patterns for Modular RAG using Spring AI and Ollama.

OAuth2 Authorization Server with Spring Boot 3 and Java 24

LiSSA: A Framework for Generic Traceability Link Recovery

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

Talk to your local LLM using ollama and spring AI

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.

A university project concerning the use of RAG(Retrieval Augmented Generation) technique and Spring framework to implement a simple financial advisor agent.

Prototipo backend-only per l'implementazione di un chatbot con Phi-3 mini, GPT 3.5 Turbo, Gemini 1.5 Pro, PaLM 2 Bison, LangChain4J, Spring.

Building an AI-Powered Chat Application with Spring AI 1.0, Ollama, and RAG: A Practical Guide

LLM-powered application with RAG capabilities.

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.