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Langflow

Drag-and-drop interface for building AI-powered agents and workflows.

postgres
langflow

Langflow is an open-source visual platform for building, testing, and deploying AI workflows and agents. Using a drag-and-drop interface, you can connect LLMs, prompts, memory, tools, vector databases, and APIs to create production-ready AI applications.

About Hosting Langflow

This dFlow template deploys the official Langflow Docker image along with a PostgreSQL database for persistent storage. Once deployed, Langflow is accessible via your dFlow URL, where you can complete the initial setup and start building AI workflows.

Common Use Cases

  • Build AI workflows visually without writing boilerplate code
  • Develop Retrieval-Augmented Generation (RAG) pipelines
  • Create and deploy AI agents with REST APIs
  • Experiment with prompts, models, and AI integrations
  • Connect to vector databases and external APIs

Dependencies

  • Langflow (Official Docker image)
  • PostgreSQL

Environment Variables

The template includes the following default configuration:

1LANGFLOW_PORT=7860
2LANGFLOW_SECRET_KEY=<your-secret-key>
3LANGFLOW_DATABASE_URL=<Automatically configured PostgreSQL connection>


Why Deploy on dFlow?

Deploy Langflow in minutes with automatic networking, HTTPS, PostgreSQL provisioning, persistent storage, custom domains, and centralized application management—all from a single dashboard.

Included Services