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Flowise

Developer & API Tools
β˜…β˜…β˜…β˜…β˜†4.3/ 5 Β· editorial ratingFree

What is Flowise?

Open-source low-code tool to build LLM apps visually. Drag-and-drop LangChain and LlamaIndex flows without writing code.

Flowise is an open-source, self-hostable low-code builder for LLM apps, with a drag-and-drop canvas based on LangChain concepts, API-ready endpoints, vector store integrations, and an embeddable chatbot widget.

What are Flowise's key features?

Drag-and-drop LLM flow builder

Visually wire together prompts, models, tools, and data sources to build an LLM application without writing orchestration code.

Open-source and self-hostable

Free to run on your own infrastructure, useful for teams with data-residency or cost concerns about a hosted service.

Built on LangChain concepts

Uses familiar chain and agent patterns from the LangChain ecosystem, exposed through a visual interface instead of code.

API-ready endpoints

Every flow built in Flowise can be exposed as an API endpoint for integrating into other applications.

Multiple vector store integrations

Connect to various vector databases for retrieval-augmented generation without custom integration code.

Chatbot embed widget

Generate an embeddable chat widget from a flow to add to a website quickly.

What are Flowise's pros and cons?

Pros

  • Visual drag-and-drop builder needs no coding for basic flows
  • Free and open-source with full self-hosting option
  • Built on LangChain/LlamaIndex under the hood for power
  • Fast way to prototype LLM apps visually

Cons

  • Complex flows can get messy in a visual canvas
  • Self-hosting requires basic server/Docker knowledge
  • Smaller community than code-first frameworks

What can you use Flowise for?

β†’Building chatbots without writing code
β†’Rapid prototyping of RAG and agent workflows
β†’Internal tools for non-technical team members
β†’Visualizing and debugging LLM app logic

How much does Flowise cost?

Flowise is free and open-source to self-host; a hosted Cloud version is available with a free tier and paid plans for more usage.

Most Popular

Self-hosted

Free
  • Open-source, MIT license
  • Unlimited flows
  • Full data control

Cloud Free

$0/mo
  • Limited monthly executions
  • Hosted, no setup required

Cloud Pro

$35/mo
  • Higher execution limits
  • Priority support
  • Team workspace

How to use Flowise

  1. Self-host Flowise via Docker/npm, or sign up for the hosted cloud version.
  2. Start a new flow and drag in nodes for your LLM, prompts, and any tools or data sources needed.
  3. Connect the nodes to define the logic of your chatbot, agent, or workflow.
  4. Test the flow in the built-in chat playground.
  5. Publish the flow as an API endpoint or embeddable widget for your application or website.

Is Flowise worth it?

8.6

Flowise makes LLM application building accessible without code, while still exposing enough depth -- through LangChain-style building blocks -- for genuinely production-grade use. It's a weaker fit for very complex, highly custom logic, where a code-first framework still offers more precise control than any visual node editor can comfortably express.

How we write this page: details come from the tool's official site, documentation and pricing page, plus published reviews where noted. We have not tested every feature hands-on, and prices and limits change, so confirm them on the official site before you buy.

Frequently Asked Questions

Is Flowise free to use?

Yes, it is open-source and free to self-host; a hosted cloud version is also available with its own pricing.

Do I need to know how to code?

No, its core appeal is a visual, drag-and-drop interface, though custom code nodes can be added for advanced logic.

Is Flowise related to LangChain?

Yes, it is built on similar chain and agent concepts from the LangChain ecosystem, exposed visually instead of through code.

Can Flowise connect to my own documents?

Yes, via vector store integrations, supporting retrieval-augmented generation over your own data.

Can I deploy a Flowise chatbot on my website?

Yes, every flow can generate an embeddable chat widget or a callable API endpoint.

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