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Flowise

Freemium
llmopen-sourcelow-codechatbotaideveloper toolraglangchainvisual buildernodejs

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.

Pros

  • Open-source and free to self-host, offering maximum control and no vendor lock-in.
  • The drag-and-drop visual interface greatly simplifies the creation and understanding of complex LLM chains.
  • An extensive and growing library of integrations for LLMs, vector databases, and APIs.
  • Allows for rapid prototyping and iteration, with the ability to create and expose an API endpoint from a flow.
  • Active development and a strong community on GitHub for support and contributions.

Cons

  • Visual flows can become cluttered and difficult to manage for highly complex or large-scale applications.
  • Self-hosting requires technical expertise with Node.js, Docker, and environment management.
  • Documentation can sometimes lag behind the rapid release cycle of new features and nodes.
  • Debugging failures within a complex chain of nodes can be less straightforward than debugging traditional code.

Key features

  • Visual drag-and-drop canvas for workflow creation
  • Support for major LLMs including OpenAI, Anthropic, and open-source models via Hugging Face
  • Integrations with various vector stores like Pinecone, Chroma, and Supabase for RAG
  • One-click API endpoint generation for created chatflows
  • Embeddable HTML chat widget for easy integration into websites
  • Orchestration of AI agents with tools like calculators, search engines, and custom functions
  • Marketplace of pre-built templates for common use cases
  • Observability through integration with services like LangSmith

Integrations

OpenAIAnthropicGoogle GeminiHugging Face HubPineconeChromaDBWeaviateSupabaseSerpApiZapier

Target audience

Developers, Machine Learning Engineers, and Product Managers looking to rapidly prototype, build, and deploy LLM-powered applications using a low-code, visual interface.


Ratings & Reviews

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Key Metrics

Founded

2023

Pricing Tiers

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


Frequently Asked Questions


Top Alternatives to Flowise

LangChain

The foundational code library that powers many Flowise nodes, chosen by developers who require granular, code-first control over application architecture.

Dify.AI

An alternative LLM application development platform that combines a visual interface with more extensive backend-as-a-service (BaaS) and LLMOps features.

Voiceflow

A mature platform focused specifically on designing, prototyping, and launching advanced conversational AI agents for both text and voice channels.

LlamaIndex

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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