"Inspiration And Emotion Linking Between AI and Humans"

🕵️ Talk to your data like a human — RAG-powered AI writes SQL & explains it

AI Chatbot Project - Based on Spring Boot and LLM and RAG

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.

Simple spring-boot application which ingest a document to apply RAG pattern in order to enrich model knowledge about doc content.

🗺️ Visualize and explore large embeddings interactively, enabling easy navigation, clustering, and density analysis of your data.

Movie data generator with rag project.

A complete RAG (Retrieval-Augmented Generation) application built with Spring Boot, PostgreSQL, and Ollama integration for document processing and AI-powered querying

PLANit.ai is an Android app (Java) for smart event planning. It offers budget-friendly, customizable packages and lets users prioritize services. A chatbot powered by RAG and OpenAI provides real-time recommendations.

Spring Boot backend for an AI Portfolio Assistant. Implements a complete RAG pipeline using Java, Azure OpenAI (GPT-3.5-Turbo & Embedding models), and ChromaDB to power a conversational chat API.

Production-ready intelligent Q&A system with RAG pipeline, OpenAI GPT-4o-mini, vector embeddings, PostgreSQL pgvector, Spring Boot 3.3+, JWT auth, Redis caching, Docker, CI/CD, and comprehensive monitoring

Demo application for Spring AI and Ollama using PDF document context.

SyncWell is a mobile application aimed at addressing the inaccessibility and lack of personalization in wellness plans for women. It provides customized workout and diet recommendations based on the user's current phase in their menstrual cycle — Menstrual, Follicular, Ovulatory, or Luteal.

LLMHelper is a RAG-based system that integrates Spring Boot, LangChain4j, and Ollama to automate IT ticket classification. It simplifies ticket routing and processing by using local LLM capabilities.

Generated Ai Generic Generative AI Spring Boot Application

Implementação de um RAG em Spring Boot usando Elasticsearch como banco de dados vetorial

a rag implementation example for document-based QA, using spring-ai, ollama, and postgres-pgvector vetor db.

前后端分离架构下的 AI 聊天机器人

EvolvAI RAG es un sistema de Generación Aumentada por Recuperación (RAG) implementado en Java que permite crear aplicaciones conversacionales con acceso a información contextual. El sistema utiliza una arquitectura hexagonal (puertos y adaptadores) que separa claramente las responsabilidades y facilita tanto el mantenimiento como las pruebas.

Simple RAG Implementation Based Entirely on Java (based on elasticsearch)