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Build AI agents by dragging blocks

You want an assistant that answers with YOUR documents and YOUR rules, but you do not code. Flowise builds AI agents and chatbots by connecting visual blocks, and publishes them as a website widget or an API.

Who this is NOT for

'Visual' does not mean 'trivial': you still need to understand what a model, a prompt and a vector store are. If you have not tried local AI yet, go through Ollama first and come back.

Curator's note · NeuralEdge

The bridge between 'I use ChatGPT' and 'I have my own agents'. The combo we repeat in deployments: Flowise + local Ollama = an agent that answers from your documents without a single byte leaving your server. That combo is the demo that convinces a business owner fastest.

Your first step

Install it with Docker, connect it to Ollama and build the 'chat with your documents' template using three real PDFs from your business.

The Flowise implementation guide

The project belongs to FlowiseAI, Inc. and it is free: the link beside asks for nothing. The guide to set it up without getting lost is ours: step by step, common mistakes and a checklist. Leave your email and we will send it.

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