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

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.

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.

Run a RAG-LLM locally with spring AI

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.

Exploring interactions with LLMs : Practical insights with Spring AI

Spring AI, Ollama, model llama3.1

S1E1 - Quick Start

Project to demonstrate how to use my own document to feed AI generative chat model and then ask local question related to that document for specific and effective answers. In technical term, using RAG with springboot AI. Ollama is used locally to run deepseek-r1 model.

Access to AI model hosted in local Ollama using Spring AI

Spring AI Functions With Local Ollama and Mistral

LLM Model Context Protocol (MCP) demo using Spring AI

Building an AI-Powered Chat Application with Spring AI 1.0, Ollama, and RAG: A Practical Guide

This project is a Spring Boot application that demonstrates an REST API using Ollama AI. It features embedding vectors, function calling, and streaming capabilities.

Basic project to use open source LLM model with Spring AI.

Spring AI, Ollama, llama3.1, nomic-embed-text, PGVector