This repository contains several examples that I use to integrate Java and AI. These projects show the usage of LangChain4j, LangGraph4j, or DJL.

This is the list of projects, as I have presented them. However, each repository has its own README with information on what to expect, including a video demo and instructions about how to deploy on your computer or Kubernetes.

• Event-Driven AI (https://github.com/lordofthejars-ai/event-driven-ai): Example using Quarkus, Kafka, Debezium, and DJL to implement an event-driven application for analyzing sentiment analysis.

• Fraud Detection (https://github.com/lordofthejars-ai/fraud-detection-inference): Example using Quarkus and DJL for fraud detection on bank transactions. Predictive AI example.

• Insurance Claim Processing (https://github.com/lordofthejars-ai/insurance-claim-processing-ai-java): Example using Quarkus, DJL, and LangChain4j for analyzing a car accident picture, generating reports, and summary information.

• Face Cover Emoji (https://github.com/lordofthejars-ai/face-cover-emoji): Example using Quarkus, DJL, and OpenCV for detecting faces and covering them with an emoji.

• Passport Extractor (https://github.com/lordofthejars-ai/passport-extractor): Example using Quarkus, YOLO, OpenCV, and Tessaract (OCR) for analyzing images of passports and extracting important information.

• Recommendation with Vectors (https://github.com/lordofthejars-ai/recommendation-with-vectors): Example showing how to use vector embeddings for implementing a recommendation engine.

• Second Hand Shop (https://github.com/lordofthejars-ai/second-hand-shop):: Example that shows describing capabilities of Gen AI. You upload a product image, and the system fills a form with the name, description, ...

• Autonomous Agent Bot (https://github.com/lordofthejars-ai/autonomous-agent-bot): Twitter Clone where a Bot monitors messages and reacts depending on the comments.

• News Clustering (https://github.com/lordofthejars-ai/news-clustering-with-vectors): Example using vector embeddings for clustering news by topic.

• LangGraph4J https://github.com/lordofthejars-ai/quarkus-langgraph-examples: From beginner to advanced use cases of LangGraph4j.

• Mission Impossible https://github.com/lordofthejars-ai/mission-impossible-rag: Example that integrates Quarkus and Docling and some advanced RAG techniques like Preserve encryption.

• Quarkus-LangChain4j https://github.com/lordofthejars-ai/quarkus-langchain-examples: Simple examples showing the integration between Quarkus and LangChain4j.

• Theme Park https://github.com/lordofthejars-ai/theme-park-bot: Full example implementing a ChatBot for a theme park. It shows features like RAG, tooling, MongoDB Geocoding