A trip planner using a recommendation from LLM, powered by LangChain and Ollama.

This example repository illustrates the usage of LLMs with Quarkus by using the quarkus-langchain4j extension to build integrations with ChatGPT or Hugging Face. The code dives into simple conversations, retrieval augmented generation (RAG) and building agents.

Prototipo backend-only per l'implementazione di un chatbot con Phi-3 mini, GPT 3.5 Turbo, Gemini 1.5 Pro, PaLM 2 Bison, LangChain4J, Spring.

Java Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini, Claude 3, Llama3, Phi-3, Gemma, Falcon 2, Mistral, Wizard Math

A Minecraft (Paper) server plugin which lets ChatGPT become God

Examples of advanced rag with modified query routing in kotlin (langchain4j).

Dynamic Retrieval Augmented Generation for Optimized Nimble

Demo application to chat with a book (using LangChain and Open AI GPT LLM)

Example of using the langchain4j library

🌐🤖 - AI Assistant

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

Criação de chatbot com java e langchain4j usando o modelo de IA generativa "gemma-2b-it-GGUF"

Dummy spring boot project to load sample document as embeddings to chat with

FullStack LangChain application using SpringBoot, LangChain4J and React - integrate with internal data and api and upload internal documents for RAG

Retrieval Augmented Generation Demo with Quarkus

A Java-based chatbot, offering real-time academic info and assistance. Integrates JavaFX, LangChain, OpenAI API, and ChromaDB on Oracle Cloud, enhancing the educational experience with multilingual support and user-friendly interface.

Cover letter generator with Generative AI

OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform

🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j

A chat bot for domain specific knowledge. Headless RAG for the enterprise. RAG as a service.