Flowise VS openai-java

The GitHub repo is: https://github.com/FlowiseAI/Flowise

- https://github.com/FlowiseAI/Flowise

It's absolutely ok if the answer is "Yes", I think that in this hot market each product will find a place. And competition is also motivate :)

It would be also nice to add Rivet here:

If you're doing anything more custom or advanced than the regular ChatGPT type of interface can handle, you can use Flowise to build your own bot with any number of advanced plugins like internet search, calculators, recursion, file read/write access, long-term memory, other AI's...

Dove into Flowise Docs for a useful example.

For rapid prototyping try Flowise

Flowise as well, you are right!

Flowise

Drag & drop UI to build your customized LLM flow using LangchainJS (https://github.com/FlowiseAI/Flowise)

Take a look at https://github.com/TheoKanning/openai-java/blob/main/service/src/main/java/com/theokanning/openai/service/FunctionExecutor.java

First, we need to set up a new Spring Boot application. You can use Spring Initializr to generate a new Maven project with the necessary dependencies. For this tutorial, we will need the Spring Boot Starter Web dependency. To integrate the ChatGPT API, we will use the OpenAI Java client. There is an open-source community Java library. It provides service classes that create and calls the OpenAI's GPT APIs client in Java. Of course, you can write your own implementation in Spring that interacts with OpenAI APIs too. See other client libraries for different programming languages.

The openai-java has 3 modules that the developers can use, and I needed all of them to fulfil the requirements.

implementation 'com.theokanning.openai-gpt3-java:service:0.12.0' // https://github.com/TheoKanning/openai-java

The Botz library adds to the already rich and extensible Openfire with the ability to create internal user bots. With the Botz library, programmers may choose to develop a virtual user or a chatbot as a plugin. Although Openfire does not really distinguish this virtual user from the real users, one could intercept messages to the chatBot from your users, and be able to respond per your needs. An example would be to integrate the Botz library with the relatively new OpenAI Java SDK to provide an AI chatBot or a ChatGPT experience for your Openfire users.

I am thinking to do something with openai this is a java lib.i found in the docs https://github.com/TheoKanning/openai-java but i have no further experience.