"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.

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.

LlamaTalks is a Spring Boot-based chatbot application leveraging LangChain4j and Ollama for advanced conversational AI with Retrieval-Augmented Generation (RAG) capabilities. It supports streaming responses, conversation management, document ingestion, and persistent chat history.

A Spring AI Exploring Project[Caicai].

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

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

A simple RAG ingestion service with a REST API.

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.

An example to help you start building RAG apps powered by JobRunr.

Code samples around Spring AI.

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