Flowise

Flowise is an open-source, low-code platform that lets you build and visualize AI workflows powered by large language models (LLMs).
It provides a drag-and-drop interface for chaining together language model components such as prompts, vector databases, memory, and API tools - enabling developers to create custom chatbots, assistants, and AI-driven automations without heavy coding.
Flowise is built on top of LangChain, making it extensible and developer-friendly.

About hosting Flowise on dFlow

Hosting Flowise on dFlow gives you a scalable, secure, and ready-to-use environment for building and running AI-powered applications.
Once deployed, you can design workflows visually, integrate with APIs or vector databases, and run real-time inference directly from your Flowise dashboard.
dFlow manages deployment, SSL, networking, and persistence - ensuring your Flowise instance stays reliable and fast.

This makes it ideal for teams building internal AI tools, prototyping conversational apps, or deploying production-ready agents and workflows.

Common use cases

• Building chatbots and conversational assistants
• Designing custom AI agents using LangChain components
• Creating data retrieval and summarization pipelines
• Integrating LLMs with APIs and external tools
• Experimenting with vector stores and embeddings for search
• Building internal tools that leverage AI reasoning

Feature highlights

• Visual, drag-and-drop flow editor
• Integration with OpenAI, Anthropic, Hugging Face, and local models
• Support for vector databases like Pinecone, Qdrant, and Chroma
• Built-in prompt templates, memory, and chain logic
• REST API for deploying and calling workflows
• Custom node creation with TypeScript support
• Data persistence and export for production deployment
• Fully self-hosted and open source

How to install on dFlow

Deploy the Flowise template directly from your dFlow dashboard.
No manual configuration is required for basic setup.
After deployment, visit your Flowise instance URL to access the visual editor and begin building workflows immediately.

Need help?

Comprehensive documentation, setup instructions, and node reference guides are available on the official Flowise documentation site.
Visit the docs to learn how to connect data sources, create custom nodes, and deploy AI workflows at scale.