Drag and drop your way to a working LLM chain.
Flowise puts a node canvas over LangChain: drop in a loader, an embedding model, a vector store and a chat model, connect them, and you have a deployable endpoint with an embeddable chat widget. It is the fastest way to get a colleague who does not write Python to a working prototype they can then hand over.
A visual platform for building and operating LLM apps.
Wrap any model in a shareable web UI in a few lines.
Data and AI apps written as ordinary Python scripts.
Track the experiments, register the models, ship the good one.
Visual builder for agents and RAG flows, deployable as an API.
Fair-code workflow automation with AI steps built in.
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