Spring boot Agent-based architecture. The project consists of multiple services working together using MCP (Model Control Protocol) to provide comprehensive solution. Redis as Vector Store.
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Updated
Mar 21, 2025 - Java
Spring boot Agent-based architecture. The project consists of multiple services working together using MCP (Model Control Protocol) to provide comprehensive solution. Redis as Vector Store.
Normal chat, Rag con pdf y consultas con pgvector
Microservices platform for document upload and semantic search. Built with Spring Boot, React, Docker, RabbitMQ, Qdrant and Ollama. Includes a Jenkins CI/CD pipeline. University DevOps project.
"The Dummy Way" is a friendly introduction to integrating Large Language Models (LLMs) into Java applications!
Built own local AI app with Spring Boot + Ollama + Vector Search + RAG. Learn embeddings, semantic search, HNSW, and LLM integration with a fully local AI system.
This Burp Suite extension allows the user to upload the identified security issues directly to Pwndoc or export them in various document formats.
Knowledge Copilot is a Retrieval-Augmented Generation (RAG) application with multi tenant isolation based on LDAP for companies. It allows organizations to interact with their private document libraries securely, providing accurate answers with transparent quality scoring, source citations and traceability.
ARIA — an open-source, AI-powered Android launcher. Context-aware app predictions, LLM-driven home screen cards, built-in chat, and an extensible skill system. Privacy-first, battery-first. Built on Lawnchair.
AI-powered banking statement analyzer that extracts spending insights from PDFs using Spring Boot, RAG, and local LLM (Ollama).
A laboratory for Java AI applications and agentic architectures. Focused on stateful multi-agent orchestration,LangChain4j, LangGraph4j workflows, and Spring Boot integrations. Practical, local-first LLM patterns using Ollama, and the Model Context Protocol (MCP).
🤖 Hybrid AI Gateway with Spring Boot 3 & Spring AI - Orchestrates Google Gemini and Ollama with RAG, multimodal vision, AI tool calling agents, streaming support, and intelligent fallback. Best of cloud performance + local privacy.
Schema-aware NL2SQL assistant for PostgreSQL with SSE streaming, query reuse, feedback scoring, and Ollama-based answer generation.
AGPL-3.0 Secure by default Spring Boot for secure Web servers and clients.
A simple bookshop AI agent powered by Spring AI and enhanced with Retrieval Augmented Generation (RAG)
A RAG-powered financial advisor agent developed with the Spring framework.
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