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Flowise project preview

Flowise

Drag & drop UI to build customized LLM flows using LangChain and LlamaIndex.

LicenseApache-2.0
GitHub stars31.0k
Last commit1 weeks ago
Tags6 topics
Ai MlLlm OrchestrationLangchain UiTypescriptAi AgentsLow Code Ai
Overview

Why consider Flowise?

Flowise is an open-source UI visual tool to build customized LLM orchestration flows and AI agents. It connects vector databases, memory buffers, tools, and foundation models using drag-and-drop nodes.

Guided learning

Learn Flowise by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Flowise

Flowise lets developers prototype conversational agents, RAG pipelines, and automated multi-agent teams without writing boilerplate code.

Quickstart via Docker

bash
1docker run -d \
2 --name flowise \
3 -p 3000:3000 \
4 flowiseai/flowise

Flowise is licensed under the Apache License Version 2.0.

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Flowise FAQs

Flowise is listed as a Ai Ml tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Flowise is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Flowise is listed as an alternative to Voiceflow. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.