Workflow examples
Ready-made graphs — copy the nodes into your editor or open as a new project.
Support bot (RAG + agent)
Answers customers from your own policies and price list, and does not invent what it could not find. The core of a first-line bot.
RAG over a knowledge base
Finds the right fragment in your documents and passes it on — no retelling by the model.
FAQ bot
Takes the routine delivery, payment and refund questions off a human: one system prompt, nothing else.
Structured data extraction
Turns the free text of a request or an email into fields — so they can be stored, counted or passed on.
Agent with web search
Answers from fresh data on the web and shows its sources — for when the answer is not in your documents.
Chat with conversation memory
Remembers what was said earlier, so the customer does not have to repeat themselves every turn.
Simple LLM chat
A minimal workflow — entry, an LLM agent and an answer. The basis for any chatbot.
Text summarizer
Takes a long text and returns a short summary in a given format.
Translator
Translates incoming text into a requested language, preserving tone and formatting.
Agent answer through a template
The model's answer passes through a Jinja template — one consistent shape for every reply.