FastGPT is an open-source knowledge-base Q&A platform that turns private documents into grounded chatbots with visual workflows and an outward-facing API.
FastGPT makes document-grounded AI Q&A a turnkey capability. Upload documents and the platform handles chunking, vectorization, and indexing; at question time it retrieves the relevant passages and generates answers with evidence. Visual workflows chain retrieval, branching logic, and external API calls into complex applications such as a support bot that opens a ticket before handing off to a human. FastGPT deploys on-premise and connects to mainstream models including OpenAI-compatible, Tongyi, and Wenxin, which suits teams with data-security requirements.
Many teams build their first knowledge-base assistant here: upload product docs and service logs, and a workable bot exists within hours. Workflow support extends it past simple Q&A — querying order status before replying, for example — and the open-source license allows migration to owned servers for the long term.
Experience shows knowledge quality decides answer quality: better-structured documents produce higher hit rates. Workflows can grow from simple Q&A into business actions like checking order status before replying. The open-source edition has an active community and rich integrations, keeping long-term maintenance costs manageable.
Deployment guides cover common server environments, and the API surface is stable enough for building customer-facing products on top. Teams typically start with one knowledge domain and replicate the pattern once retrieval quality is proven.
The open-source edition is free; hosted cloud plans are billed by knowledge-base capacity and call volume, with enterprise support quoted separately.
Technical teams building internal knowledge bots, customer service assistants, or document Q&A products. It suits technical teams that need grounded Q&A deployed fast.