Integration of Flowise as a module in Ilum

Ilum to use flowise as a native module. Flowise is an open-source visual workflow builder that allows the user to create and manage complex AI workflows using a simple drag-and-drop interface. Integrating flowise into Ilum will allow users to design and orchestrate AI-driven processes easily. This will enhance the capabilities of Ilum and simplify AI integration into data workflows. https://flowiseai.com/ Integrating flowise will be instrumental for Ilum as it helps to build AI workflows visually. Ilum wants to create a single application for managing all data usages. - Make it easy for users to create and change AI workflows without needing to learn a lot of code. - In order to stimulate creativity, collaboration, and innovation, team members will be able to co-create and visualise workflows together. - Make it easier for users to develop and change AI workflows without coding knowledge, making advanced AI models more accessible. - Leverage flowise's open-source nature to allow Ilum to easily modify system source code according to their needs. 1. We’d like you to embed the drag-and-drop interface by flowise into Ilum for easy designing and management of workflows visually. 2. Make it easy for users to add large language models and other AI services to data pipes. This will make it easy for users to leverage AI’s power for data analysis, transformation, insights generation, etc. 3. Provide a platform for people to work together on AI work and also fix problems that may come up over that which makes life easier. 4. Users will be able to rapidly build and deploy AI workflows within Ilum, allowing them to build solutions that can easily be iterated on and scaled. 5. Take advantage of the flowise open-source architecture to enjoy a community of contributory modular building blocks that can be customized to suit changing needs. Integrating flowise as a module in Ilum can help create easy visual orchestration of AI workflows and combine advanced AI abilities with rich data management. This combination will make it easy to design, deploy and manage AI-based processes, making the platform more efficient and innovative. We look forward to receiving community feedback and hope to further strengthen the Ilum ecosystem through flowise.