FastGPT is an open-source platform for building knowledge-based chatbots with visual workflow orchestration and one-click deployment.
FastGPT focuses on the retrieval-augmented generation pipeline that most enterprise chatbots actually need. Documents are chunked, embedded, and indexed with tunable retrieval parameters, while a node-based workflow canvas wires the knowledge base to question rewriting, answer checking, and external API calls. The platform ships with conversation logging, annotation-based fine-tuning of retrieval, and multi-channel publishing to web widgets, Feishu, WeCom, and messaging APIs. Because it is open source and Docker-friendly, many Chinese companies run it as an internal knowledge assistant over wikis, tickets, and product manuals. Its API-compatible endpoints also let developers embed the whole pipeline into their own applications. Its open-source nature means teams can audit the retrieval pipeline, swap embedding models, and tune search parameters that closed products hide — capabilities that matter when answer accuracy is tied to business outcomes. Teams can also A/B test retrieval strategies and prompt variants against recorded conversations before rolling improvements out to production bots.
The community edition is free and self-hosted. Cloud plans charge for managed hosting, higher document capacity, and team features, while enterprise licenses add private deployment and support SLAs.
Chinese engineering teams building internal knowledge assistants over documentation and tickets, and product teams that want a self-hosted, controllable RAG chatbot stack rather than a closed SaaS. It works well for support and internal-helpdesk scenarios where the assistant must cite the correct paragraph from a large, frequently updated manual.