JAVA版本的检索增强生成(RAG)项目,包括知识库、搜索 | JAVA version of retrieval enhancement generation(RAG) project ,including knowledge base, search
-
Updated
May 23, 2024 - Java
JAVA版本的检索增强生成(RAG)项目,包括知识库、搜索 | JAVA version of retrieval enhancement generation(RAG) project ,including knowledge base, search
Chat with an AI that's aware of your documents.
This repository contains code for the PDF Assistant created using LangChain4J, Spring Boot and Astra DB
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.
AI Assistant using RAG technique to give contextualized responses
Samples showing how to build Java applications powered by Generative AI and LLMs using LangChain4j and Spring Boot.
OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform
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
AI implementation using langchain4j and springAI frameworks with Java
A chat bot for domain specific knowledge
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.
🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j
Demo application to chat with a book (using LangChain and Open AI GPT LLM)
A Minecraft (Paper) server plugin which lets ChatGPT become God
Cover letter generator with Generative AI
A trip planner using a recommendation from LLM, powered by LangChain and Ollama.
Criação de chatbot com java e langchain4j usando o modelo de IA generativa "gemma-2b-it-GGUF"
Add a description, image, and links to the langchain4j topic page so that developers can more easily learn about it.
To associate your repository with the langchain4j topic, visit your repo's landing page and select "manage topics."