Flowise is an open-source visual tool that allows users to create custom LLM (Large Language Model) flows through a drag-and-drop interface. It simplifies the process of building AI applications without requiring deep coding knowledge to create complex AI workflows.

Key Features:

Visual Flow Building: Design and build LLM workflows through an intuitive drag-and-drop interface without writing complex code
Multiple Model Support: Integration with various popular language models such as OpenAI, Anthropic, Google, and more
Component-Based Design: Rich pre-built components including chat models, vector stores, memory systems, and more
API Generation: Automatically generates API endpoints for created flows for easy integration with other applications
Custom Agents: Build custom AI agents capable of performing specific tasks and solving complex problems
Vector Database Integration: Support for multiple vector databases for efficient knowledge retrieval and management
Workflow Sharing: Export and import workflow configurations for team collaboration and process sharing
Multiple Deployment Options: Support for local deployment, Docker containerization, and cloud service deployment

Use Cases:

Building custom chatbots and virtual assistants
Creating question-answering systems based on specific knowledge bases
Developing automated document processing and analysis tools
Designing intelligent customer service and support systems
Implementing complex multi-step AI workflows
Building AI agents capable of performing specific tasks

Default Information

Default username: None (Registration required for first use)
Default access address: http://IP:3000
Default data directory: ~/.flowise

README_en.md

Flowise

Introduction

Key Features:

Use Cases:

Default Information

More Information