Pick Langflow if
developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python.
Read the Langflow pageLangflow vs RAGFlow
Our take
Pick Langflow if developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python. Pick RAGFlow if teams who will run Docker and already have a chat-model key (the cover uses DeepSeek). Skip Langflow if non-technical ops teams that need Slack/HubSpot glue, or anyone who will not run a local server and bring their own model API keys. Skip RAGFlow if people who want a ChatGPT-style
Best for
Langflow Prototyping an agent
RAGFlow Chunk documents and route an agent over them
Free plan
Langflow $0 · no license fee (MIT). You run uv pip install langflow or Docker. You pay your own LLM/provider bills
RAGFlow $0 · apache-2.0. You bring CPU/GPU, disk, and model keys
Lowest paid
Langflow Not published by the vendor
RAGFlow Not published by the vendor
Coding agent
Langflow Visual agent canvas
RAGFlow Agent canvas
Runs where
Langflow Local; you host it
RAGFlow Local or hosted
Watch out
Langflow You bring the model key
RAGFlow $0 is the software, not Tavily or DeepSeek
Last checked
Langflow 2026-10-19 · docs.langflow.org/get-started-installation
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