Build working AI agents in Flowise without writing code. You drag boxes called nodes onto a canvas and connect them — a model here, your documents there, a tool over there — so you literally see how information flows. Across seven short lessons you go from a free account to a document-grounded chatbot, a tool-using assistant, a multi-agent workflow, and finally a published agent you can embed on a site or call from an API. The visual builder is free and open-source; you bring (and pay for) your own LLM API key.
Build your first agent flow
Work like a pro
A Flowise agent ingests your product docs and FAQ, then answers customer questions in an embeddable chat widget — escalating to a human when it is unsure.
A 24/7 support assistant on your site that only answers from your real documentation.
Build a Retrieval QA chatflow over your docs → "Embed in website" → paste the snippet on your landing page.
A Flowise chatflow loads a folder of PDFs into a vector store, then answers questions grounded in them — "Which of these papers used a knockout mouse model?" — with citations back to the source document.
A private research assistant that searches your own literature instead of the whole internet.
New Chatflow → PDF/Folder loader → embeddings → vector store → Conversational Retrieval QA node → ask a question in the chat panel.