From Java Dev to AI Engineer: Spring AI Fast Track
Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.
AI implementation using langchain4j and springAI frameworks with Java
Workshop for Talent Arena 2025
This repository is designed to take you from Java fundamentals to production-grade enterprise systems, while also preparing you for coding rounds, system design interviews, and real-world backend roles.
An enterprise grade RAG (Retrieval Augmented Generation) system built with Spring Boot 3.x, demonstrating advanced backend engineering and modern AI integration.
A feedback management system
Exploring interactions with LLMs : Practical insights with Spring AI
Enterprise-grade AI DAG workflow automation platform
Building an AI-Powered Chat Application with Spring AI 1.0, Ollama, and RAG: A Practical Guide
A full-stack rural mobility platform connecting riders and verified local drivers with secure JWT authentication, Razorpay payments, real-time booking updates, and map-based ride tracking.
Showcases how to integrate Spring AI's support for MCP (Model Context Protocol) within Spring Boot applications, covering both server-side and client-side implementations.
Event ticketing platform built with Spring Boot microservices, Spring AI, GraphQL gateway, gRPC, Kafka, Keycloak, and Angular. Covers booking saga, distributed seat locking, transactional outbox, JWT auth, and a full observability stack.
High-performance network traffic analyzer combining multi-threaded C++ DPI engine with Spring Boot backend. Features five-tuple flow tracking, TLS SNI extraction, application-layer classification, and AI-powered insights via Groq Llama 3. Implements lock-free producer-consumer architecture with Redis caching and async REST APIs.
Java and Spring-Boot based AI app allowing users to create artificial profiles, add them as friends and chat with them with help of locally hosted LLM models & Spring AI. Features microservices architecture powered by Spring Cloud, OAuth2 security with Keycloak, MongoDB storage and a React-based frontend, all containerized with Docker.
This project integrates SpringAI with the Ollama Mistral model in a Java Spring Boot application to leverage generative AI capabilities. It provides an API for interacting with the Mistral model, enabling AI-powered text generation and processing.
Document Search & Insights Platform (Local AI Chat + Document ETL + Model Management Platform)
Event-driven document ingestion system built with Java and Spring Boot using Hexagonal Architecture. It processes documents into searchable knowledge bases via asynchronous pipelines (extract, chunk, embed, index) powered by domain events with Spring AI.
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