Flowise: No-Code AI Workflow Building

Flowise: No-Code AI Workflow Building

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Hello everyone, I am Niupitang! Recently, while experimenting with large language model applications, I found that many developers face the same problem: they want to quickly build an intelligent Q&A system or document analysis tool, but are often deterred by complex code and API integration. Until I discovered this 21k-star tool on GitHub — Flowise, which has completely changed the way LLM applications are developed with its visual orchestration!

1. Introduction

1. Develop AI applications like building blocks by dragging nodes to complete the entire process of: prompt engineering → vector database → API calls → result parsing. It supports LangChain ecosystem components, and you can build an intelligent customer service prototype with knowledge base retrieval in just 20 minutes.

Flowise: No-Code AI Workflow Building

2. Full-stack model compatibility

  • • Real-time responses from the entire OpenAI series/GPT-4o
  • • Locally deployed Llama3/Mistral
  • • Commercial-grade Anthropic Claude with its unique hybrid orchestration mode, allowing different models to be linked in the same workflow

Core Features

  1. 1. Visual Orchestration
  • • Build LLM applications (such as Q&A systems/text analysis) by dragging nodes
  • • Supports LangChain and LlamaIndex ecosystem components
  • • Composable: complete link from prompt templates → vector database → external API → output parsing
  • 2. Model Support
    • • Full series of OpenAI GPT
    • • HuggingFace models (self-deployed inference endpoints required)
    • • Anthropic Claude
    • • Local models (connected via Custom nodes)
  • 3. Deployment Features
    • • Self-hosted: supports Docker/Kubernetes deployment
    • • Environment isolation: manage API keys through .env
    • • Multi-tenant: the enterprise version supports team collaboration

    Technical Architecture

    
React Frontend
Node.js Backend
PostgreSQL
LangChainJS
Vector Database
LLM Providers

    How to Get It

    Project address: https://github.com/FlowiseAI/Flowise(By the way, their Discord community has 23,000 developers online helping each other, feel free to ask questions if you encounter any issues)

    Flowise: No-Code AI Workflow Building
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    Recommended Reading

    • GitHub resource project collection• 4 cores and 16G can quickly get started with RAGFlow• github 7.8k star connects XiaoAi speaker to ChatGPT and Doubao, transforming it into your exclusive voice assistant.

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