TiloBox
Back to directory
FastGPT project preview
Ai Machine LearningAlternative to DifyAlternative to ChatbaseAlternative to CustomGPT

FastGPT

Knowledge-based QA platform and visual workflow orchestrator built on LLMs.

View on GitHub Visit website
LicenseApache-2.0
GitHub stars17.5k
Last commit1 weeks ago
Tags6 topics
Ai WorkflowsEnterprise AiKnowledge BaseRagNextjsVector Search
Overview

Why consider FastGPT?

FastGPT is an enterprise knowledge base QA system based on LLMs and vector search. It features visual flow orchestrations, automatic document segmentation, and web search integration.

Guided learning

Learn FastGPT 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 FastGPT

FastGPT simplifies RAG pipelines, parsing PDFs, DOCX, and web links into vector embeddings, and structuring conversational AI workflows with visual drag-and-drop nodes.

Quickstart via Docker Compose

bash
1git clone https://github.com/labring/FastGPT.git
2cd FastGPT/files/docker
3docker compose up -d

Access FastGPT on http://localhost:3000.

FastGPT is licensed under the Apache License Version 2.0.

Related tools

More options with a similar category or technology profile.

AI Fullstack SaaS Boilerplate logo

AI Fullstack SaaS Boilerplate

All-in-one AI SaaS starter kit with OpenAI, Anthropic, Gemini, Stripe, and Next.js.

Vibe logo

Vibe

Transcribe audio and generate subtitles completely offline with modern UI on desktop.

Buzz logo

Buzz

Transcribe and translate audio offline on your personal computer using OpenAI Whisper.

InvokeAI logo

InvokeAI

Leading open-source generative AI creative engine for visual artists and design studios.

FastGPT FAQs

FastGPT is listed as a Ai Machine Learning 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.

FastGPT 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.

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