Flowise

Flowise is an open-source, low-code tool that provides a drag-and-drop interface for building applications powered by large language models. Written in TypeScript and JavaScript on Node.js, it lets users assemble chatbots, retrieval-augmented generation pipelines, and multi-agent flows by visually connecting components rather than writing orchestration code by hand. Under the hood it builds on LangChain-style abstractions, exposing them as nodes on a canvas.

What you can build

A typical Flowise project wires together a chat model, a prompt template, a vector store for retrieval, and tools the agent may call, producing a deployable endpoint or embeddable chat widget. Because the building blocks are visual, Flowise lowers the barrier for people who understand the concepts of an AI pipeline but do not want to maintain bespoke code for every flow. It also exposes APIs so finished flows can be embedded into larger applications.

Self-hosting and sovereignty

Flowise can be self-hosted on common cloud providers or on owned hardware, which lets operators keep prompts, data, and model routing within their own environment. Paired with locally hosted models, it can form part of a fully private AI stack. As with any framework in this category, D-Central describes Flowise neutrally; whether it suits a given project depends on the complexity and control that project demands.

For comparison, see D-Central's entries on n8n for broader automation and Haystack for code-first RAG pipelines.