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FastGPT

Make LLMs answer questions based on your own knowledge base with visual workflow builder

4.3/ 525,000 GitHub starsTypeScript/PythonApache-2.0
GitHubRun Locally

⚡ TL;DR

What
Make LLMs answer questions based on your own knowledge base with visual workflow builder
Who
No-code RAG builders, Teams wanting visual workflow AI, Companies building custom knowledge bots
Catch
Commercial license for enterprise
Verdict
⭐⭐⭐⭐ Essential

🎯 The Problem It Solves

You want to build a chatbot that answers questions based on your company's knowledge base but need a visual workflow builder instead of coding. FastGPT provides a no-code interface for building RAG workflows.

🔧 How It Works

FastGPT is a TypeScript/Python platform for building RAG chatbots with a visual workflow builder. Drag-and-drop nodes to create complex pipelines: document parsing → embedding → vector search → LLM response. Supports OpenAI, Claude, local models.

🚀 Installation & Quick Start

Installation

docker run -d -p 3000:3000 fastgpt/fastgpt:latest

Quick Start

  1. Deploy with Docker
  2. Create a knowledge base
  3. Build a RAG workflow visually
  4. Connect to your LLM and deploy

✅ Pros

  • •Best visual RAG builder
  • •No-code for non-developers
  • •100+ file formats
  • •Active development
  • •Free core version

❌ Cons

  • •Commercial license for enterprise
  • •Learning curve for complex workflows
  • •Resource-heavy

💬 Practitioner Verdict

"FastGPT is the best visual RAG workflow builder. If you want no-code RAG with complex pipelines, this is the tool."
— AI RepoIndex, Security Reviewer

📊 Specifications

Language
TypeScript/Python
License
Apache-2.0
Platform
Linux, macOS, Windows
Kill Chain
None

💰 Pricing Reality

Open-source core (Apache-2.0). Commercial license required for enterprise use.

👥 Community Health

Stars25,000
Forks3,125
Contributors500
Health Score8.5/10

🏷️ Tags

Open SourceSelf-HostedRAG

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