https://github.com/marcushellberg/java-sentiment-analysis

https://github.com/marcushellberg/java-sentiment-analysis

Last synced: 29 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/marcushellberg/java-sentiment-analysis
• Owner: marcushellberg
• License: unlicense
• Created: 2024-05-10T14:28:32.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-13T09:51:39.000Z (6 months ago)
• Last Synced: 2024-10-05T08:20:09.959Z (about 1 month ago)
• Language: TypeScript
• Size: 250 KB
• Stars: 11
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
# Java AI review sentiment analysis and reply generator

This app demonstrates how you can create a custom AI chatbot that can use your own documents to answer questions using RAG (retrieval augmented generation).

The chatbot uses [LangChain4j](https://github.com/langchain4j/langchain4j) and the OpenAI API to generate responses and [Vaadin](http://vaadin.com/) to create the user interface.

> [!IMPORTANT]

> Before you can use the application you need to configure either OpenAi or a local LLM

## 🛠️ Configuration

### Using Open AI

OpenAI gives you better quality answers but requires you to send data to a 3rd party.

To use OpenAI, get an [API key](https://platform.openai.com/api-keys) and configure it in `application.properties`.

Optionally, you can also configure the model in the properties.

### Using a local LLM

Using a local model allows you to keep your data on your local computer, but the quality of answers will not be as good as with OpenAI.

Install [Ollama](https://ollama.com/) and the `llama3` model.

Comment out the OpenAI section of `application.properties` and uncomment the Ollama section.

## ▶️ Running the application

The project is a standard Maven project. To run it from the command line,

type `mvnw` (Windows), or `./mvnw` (Mac & Linux), then open

http://localhost:8080 in your browser.

You can also import the project to your IDE of choice as you would with any

Maven project. Read more on [how to import Vaadin projects to different IDEs](https://vaadin.com/docs/latest/guide/step-by-step/importing) (Eclipse, IntelliJ IDEA, NetBeans, and VS Code).