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Flowise

Flowise

by FlowiseAI
Visual Development
Beginner
Apache-2.0
Open-source low-code tool for building customized LLM flows
Visit WebsiteDocumentationGitHub
See All Agentic Frameworks

Overview

Flowise is a drag-and-drop platform for building LLM applications. Integrates with LangChain and LlamaIndex, offering visual interface for AI development.

Key Statistics

Overall Rating

3.8/5

GitHub Stars

30,000

Last Updated

2025-10

Version

2.1.4

Features

Visual AI workflows

Visual AI workflows capabilities

Drag-and-drop builder

Drag-and-drop builder capabilities

RAG applications

RAG applications capabilities

Getting Started

Installation
npm install -g flowise
Quick Start

Install and run Flowise server

Code Example
npx flowise start

Pros & Cons

Advantages

Very low barrier to entry with drag-and-drop

Integrates well with LangChain and LlamaIndex

Good for rapid prototyping

Active development and updates

Open source under Apache 2.0

Limitations

Less suitable for production-grade applications

Limited customization compared to code-first approaches

Performance overhead from visual layer

Smaller community than LangChain

Documentation could be more comprehensive

Self-hosting requires infrastructure management

Technical Details
Primary Language

TypeScript

Supported Languages
TypeScript
JavaScript
License

Apache-2.0

Enterprise Ready

Yes

Community Size

Large

Pricing
Open Source + Cloud

Free open source. Hosting costs for deployment infrastructure

Performance Metrics

easeOfUse

5/5

scalability

3/5

documentation

4/5

community

4/5

performance

3/5

Common Use Cases

RAG applications for document Q&A

Chatbots and conversational interfaces

Rapid prototyping of AI applications

API-based AI services

Knowledge base assistants

Visual workflow design for non-developers

Ready to implement your own advanced use case?

Get started with Flowise today and build powerful AI applications.

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