Langflow
Visual platform to build, deploy, and scale AI agents and RAG workflows without complex coding. Supports all major LLMs and vector databases.
Langflow is a visual, low-code platform designed to simplify the creation and deployment of AI agents and Retrieval-Augmented Generation (RAG) applications. Whether you're a developer or a non-technical user, Langflow provides a drag-and-drop interface to build complex AI workflows with reusable components and pre-built flows.
Key Features
- Visual AI Builder: Drag-and-drop interface to design AI agents and RAG workflows without writing boilerplate code.
- Multi-LLM & Vector Database Support: Integrates with all major LLMs (e.g., Llama, Mistral, OpenAI) and vector databases (e.g., Pinecone, Weaviate, Qdrant).
- Pre-Built Components & Flows: Access a growing library of reusable components and templates to accelerate development.
- Python Customization: Extend functionality with Python for full control over AI workflows.
- Enterprise-Grade Cloud Deployment: Deploy agents on a secure, scalable cloud platform or self-host for full control.
- Collaboration & Sharing: Share flows, collaborate in real-time, and manage projects with teams.
- MCP Server Support: Build and deploy Model Context Protocol (MCP) servers for advanced AI integrations.
- Open Source & Free Cloud Tier: Available as open-source software with a free cloud tier for quick deployment.
Tech / Self-Hosting
Langflow is open-source and can be self-hosted using Docker or deployed via its cloud platform. It supports Python-based customization and integrates seamlessly with existing tools and APIs. The platform is designed for scalability, making it suitable for both small projects and enterprise deployments.