Pick FastGPT if
chinese/English teams who will self-host a knowledge assistant and already have a model key.
Read the FastGPT pageFastGPT vs RAGFlow
Our take
Pick FastGPT if chinese/English teams who will self-host a knowledge assistant and already have a model key. Pick RAGFlow if teams who will run Docker and already have a chat-model key (the cover uses DeepSeek). Skip FastGPT if people who want an English-only hosted studio with a printed card (Dify) or a simple local chat (Open WebUI). Skip RAGFlow if people who want a ChatGPT-style shell only (Open WebUI) or a
Best for
FastGPT Draw a knowledge workflow and publish a channel
RAGFlow Chunk documents and route an agent over them
Free plan
FastGPT $0 · apache-2.0 with additional conditions. You bring the model key and a database
RAGFlow $0 · apache-2.0. You bring CPU/GPU, disk, and model keys
Lowest paid
FastGPT Not published by the vendor
RAGFlow Not published by the vendor
Coding agent
FastGPT
RAGFlow Agent canvas
Runs where
FastGPT Local or hosted
RAGFlow Local or hosted
Watch out
FastGPT $0 is the software, not the LLM
RAGFlow $0 is the software, not Tavily or DeepSeek
Last checked
FastGPT 2026-10-21 · github.com/labring/FastGPT
RAGFlow 2026-10-21 · github.com/infiniflow/ragflow
Which one, then?
Pick RAGFlow if
teams who will run Docker and already have a chat-model key (the cover uses DeepSeek).
Read the RAGFlow page