What is It?
Flowise AI is an open-source, low-code/no-code visual builder that allows developers and non-technical users to create and deploy custom AI apps powered by Large Language Models (LLMs) like OpenAI, Anthropic, and more. Inspired by Node-RED, Flowise provides a drag-and-drop interface for building conversational agents, chatbots, data enrichment flows, RAG pipelines, and other LLM workflows with modular nodes and easy integrations.
Key Features
Visual Flow Builder: Create AI workflows using a node-based drag-and-drop canvas.
LLM & Embedding Support: Integrates with OpenAI, Cohere, Anthropic, Azure, and custom models.
RAG (Retrieval-Augmented Generation): Build knowledge-based bots with vector DB support (Pinecone, Chroma, Weaviate, etc.).
Custom API & Tools Integration: Connect APIs, tools, and logic directly in flows.
Self-Hosting & Open Source: Fully open-source and can be run locally or on private servers.
Authentication & API Access: Deploy flows as secure endpoints with auth and rate-limiting.
UI Widgets for Chat: Deploy embeddable chat widgets to websites and apps.
LangChain Support: Built on LangChain with node modules reflecting core functionalities.
AI Developers
Data Scientists
No-Code Builders
Technical Product Managers
Agencies & Startups
Educators & Researchers
Chatbot Creators
Enterprise AI Teams
Building custom GPT-based chatbots for websites or support systems
Creating RAG pipelines for document Q&A or internal knowledgebases
Prototyping LLM workflows without writing full code
Deploying API-accessible AI logic to integrate into apps
Building AI tools for automation, enrichment, or education
1
Visit flowiseai.com: Explore docs or GitHub repo.
2
Install or Deploy Flowise: Run locally via Docker, Node.js, or deploy to cloud.
3
Launch Visual Editor: Open the canvas interface to start building.
4
Drag & Connect Nodes: Add LLMs, prompts, tools, APIs, and databases to your flow.
5
Configure & Test: Set prompts, keys, and logic; then test real-time.
6
Deploy as Widget or API: Share your chatbot or integrate it via REST endpoints.
7
Maintain & Scale: Use version control, backup flows, and collaborate with teams.
Free – $0/month
Start building at no cost with 2 Flows & Assistants, 100 predictions per month, and 5MB storage. Includes evaluations, metrics, custom chatbot branding, and community support — ideal for early experimentation.
Starter – $35/month
Perfect for individuals and small teams, this plan offers unlimited Flows & Assistants, 10,000 predictions per month, and 1GB storage. Includes all Free features plus community support. First month free.
Pro – $65/month
Built for growing businesses, the Pro plan includes everything in Starter with 50,000 predictions monthly, 10GB storage, unlimited workspaces, and 5 users (+$15 per extra user). Comes with admin roles, permissions, and priority support.
Enterprise – Custom Pricing
Tailored for large organizations needing advanced security and scalability. Offers on-premise deployment, air-gapped environments, SSO/SAML, LDAP/RBAC, versioning, audit logs, 99.99% uptime SLA, and personalized support.
Comparision with Competitors
Vs. LangFlow: Flowise is more active in development with better UI/UX.
Vs. Botpress: Flowise is LLM-native; Botpress is rules-based.
Vs. Chainlit: Chainlit is for devs; Flowise caters to both devs and no-coders.
Vs. Superagent: Flowise focuses more on visual building; Superagent on agents.
Vs. Relevance.ai: Flowise is open-source and flexible; Relevance is enterprise SaaS.
No-code & dev-friendly
Open-source and free to use
Supports wide range of LLMs & vector DBs
Modular, fast to prototype
Can be self-hosted securely
Requires basic technical setup
Lacks prebuilt templates for some use cases
Visual flows may get complex for large apps
Hosted (cloud) version still in early phase
Flowise AI is an exceptional platform for anyone building with LLMs—whether you're a developer, a no-code enthusiast, or an enterprise team exploring GenAI use cases. With its drag-and-drop interface, LangChain power, and open-source flexibility, Flowise makes AI prototyping and deployment faster and more accessible than ever.
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