Flowise
Flowise is an open-source low-code AI platform for visually building LLM apps, RAG pipelines, and multi-agent workflows, with LangChain support, integrations, APIs, and flexible deployment options.
Flowise is an open-source, low-code platform for visually building AI applications, RAG pipelines, and multi-agent systems. It uses a drag-and-drop canvas that lets users connect AI models, data sources, memory, tools, and other components. Flowise can turn completed workflows into API endpoints or embeddable chat widgets, making it useful for creating and integrating AI applications without writing every component from scratch.
How Flowise Works
- Build on the Canvas: Add modular components to the visual workspace instead of writing repetitive code.
- Connect the Nodes: Link LLMs such as OpenAI and Gemini with document loaders, vector stores, memory modules, tools, and other components.
- Create the AI Workflow: Configure the connected nodes to build chatbots, RAG systems, agents, or other AI application logic.
- Deploy the Workflow: Flowise automatically provides an API endpoint or embeddable chat widget that can be connected to a front-end application.
How We Rated Flowise
We rated Flowise based on its visual AI workflow builder, LLM support, LangChain integration, RAG capabilities, multi-agent features, deployment options, API support, ease of use, and pricing. We also considered its open-source flexibility, observability tools, ecosystem, and infrastructure requirements.
Pros
- Speeds up AI workflow prototyping.
- Uses an intuitive drag-and-drop interface.
- Provides open-source self-hosting options.
- Automatically provides APIs for completed workflows.
- Has an active community and template ecosystem.
Cons
- Debugging complex workflows can be difficult.
- Large multi-agent workflows may be harder to scale and optimize.
- Self-hosting requires server and infrastructure management.
- Some advanced components have limited documentation.
- LLM, vector database, and API costs can increase with usage.
- Developers building LLM applications.
- Teams creating RAG and knowledge-based systems.
- Businesses developing AI chatbots and assistants.
- Users who want visual AI workflow development.
- Developers working with LangChain.
- Teams building multi-agent applications.
- Organizations that want self-hosted AI infrastructure.
Flowise is useful for users who want to build AI applications visually instead of writing every workflow component manually. Its node-based interface makes it easier to connect models, documents, vector databases, memory, and external tools. Its open-source architecture also gives teams the option to self-host Flowise and customize their deployment. Cloud hosting is available for users who prefer a managed setup, while API and chat widget support makes it easier to integrate AI workflows into other applications.
Flowise's Key Features
Builds LLM apps and AI workflows with visual nodes.
Supports LangChain tools, agents, and data connectors.
Creates RAG pipelines from files and web content.
Supports multi-agent AI workflows.
Can be self-hosted or used through managed cloud hosting.
Provides visual tracing of workflow inputs and outputs.
Generates APIs and embeddable chat widgets.
Pricing
Self-Hosted
Free
Starter Plan
$35.00 /mo
Pro Plan
$65.00 /mo
Disclaimer: for the latest and most accurate pricing, please visit the official Flowise website.
Frequently Asked Questions
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