Flowise

Flowise is a visual development platform for creating AI-powered applications using large language models. Think of it as building blocks for AI: you drag components onto a canvas and connect them together to create smart systems.

The platform lets you build chatbots that understand documents, create AI agents that can perform tasks automatically, and set up workflows that combine multiple AI tools. It supports retrieval-augmented generation, which means your AI can pull information from your own documents and databases to give accurate answers.

You can start with ready-made templates or build custom solutions from scratch. Flowise works with both cloud-based and locally-hosted AI models, giving you flexibility in how you deploy your applications. The platform is open-source, meaning the community constantly adds new features and improvements.

Getting started with Flowise is straightforward. Here are the steps to create your first AI application:

• Sign up for a free account on the Flowise website or install the open-source version on your computer using Node.js.

• Choose a template or start with a blank canvas. Templates include chatbots, document question-answering systems, and multi-agent workflows.

• Drag and drop components onto the canvas. Components include language models, memory systems, data loaders, and tools that your AI can use.

• Connect the components by drawing lines between them. This creates the flow of information through your application.

• Configure each component by adding your API keys and adjusting settings like temperature and response length.

• Test your creation using the built-in chat interface. You can ask questions and see how your AI responds in real-time.

• Deploy your application by embedding it on your website, connecting it through an API, or sharing it directly with users.

• Drag-and-drop visual interface for building AI apps

• Multi-agent orchestration with shared workflows

• Chatbot creation with document retrieval support

• 100+ integrations with LLMs and databases

• Human approval workflows for quality control

• Custom chatbot embedding for websites

• Open-source with self-hosting option

• Cloud deployment or local installation

• Real-time testing and debugging

• Template library for quick starts