Java implementation for LangChain
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Updated
Jun 20, 2023
Java implementation for LangChain
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.
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.
A Minecraft (Paper) server plugin which lets ChatGPT become God
This repository contains a documentation bot powered by an LLM using @langchain4j to swiftly find answers to your Spring Boot questions. It provides easy browsing of Spring documentation and leverages the RAG technique to retrieve relevant details on demand.
Demo application to chat with a book (using LangChain and Open AI GPT LLM)
Retrieval Augmented Generation, Function Calling and Code Generation on GitHub Projects with Java
AI Assistant using RAG technique to give contextualized responses
A dynamic learning assistant designed to simplify the onboarding and training process for new hires. Users can upload documents or enter URLs for training materials. Built with Spring Boot, @langchain4j and spring-ai
This repository contains code for the PDF Assistant created using LangChain4J, Spring Boot and Astra DB
Dummy spring boot project to load sample document as embeddings to chat with
Examples of advanced rag with modified query routing in kotlin (langchain4j).
Chat with an AI that's aware of your documents.
Criação de chatbot com java e langchain4j usando o modelo de IA generativa "gemma-2b-it-GGUF"
A trip planner using a recommendation from LLM, powered by LangChain and Ollama.
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.
Samples showing how to build Java applications powered by Generative AI and LLMs using LangChain4j and Spring Boot.
A chat bot for domain specific knowledge. Headless RAG for the enterprise. RAG as a service.
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