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.

LiSSA: A Framework for Generic Traceability Link Recovery

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

Talk to your local LLM using ollama and spring AI

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

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.

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.