Flowise is an open-source, low-code tool for developers to visually build and orchestrate custom Large Language Model (LLM) workflows using a drag-and-drop interface, simplifying the creation of complex AI applications.
Flowise provides a visual canvas for building applications powered by Large Language Models, acting as a user-friendly graphical user interface on top of frameworks like LangChain. It primarily serves developers, AI enthusiasts, and product managers who want to rapidly prototype and deploy AI chatbots, Q&A systems, and autonomous agents. Users can drag and drop components like LLMs, data sources, and tools, connecting them to create complex logic without writing extensive boilerplate code. Its unique value proposition lies in its open-source nature, offering extreme flexibility for self-hosting, and its intuitive visual builder which significantly lowers the barrier to entry for creating sophisticated Retrieval-Augmented Generation (RAG) applications.
Developers, Machine Learning Engineers, and Product Managers looking to rapidly prototype, build, and deploy LLM-powered applications using a low-code, visual interface.
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2023
Open Source
Self-hosted on your own infrastructure. Unlimited chatbots, unlimited messages, full access to all nodes and features.
Free
Hobby Cloud
Managed cloud hosting. Includes 2,000 messages/month, 3 chatbots, 1 project, and community support.
$9/mo
Pro Cloud
For professionals and small teams. Includes 10,000 messages/month, 20 chatbots, 5 projects, and API access.
$49/mo
Business Cloud
For larger teams and production use. Includes 50,000 messages/month, unlimited chatbots, 20 projects, team members, and priority support.
$199/mo
The foundational code library that powers many Flowise nodes, chosen by developers who require granular, code-first control over application architecture.
An alternative LLM application development platform that combines a visual interface with more extensive backend-as-a-service (BaaS) and LLMOps features.
A mature platform focused specifically on designing, prototyping, and launching advanced conversational AI agents for both text and voice channels.
A data framework for LLM applications that a developer might choose over Flowise for its specialized focus on advanced data indexing and retrieval strategies.
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