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Langflow

Langflow is a low-code AI builder for agentic and RAG applications, supporting Python and major LLMs and vector databases.

Introduction

Langflow is a powerful low-code development framework designed for building, deploying, and managing AI agents and retrieval-augmented generation (RAG) applications. With a visual drag-and-drop interface, Langflow enables rapid prototyping and deployment of AI workflows without the need for extensive boilerplate code. Key features include:

  • Visual Flow Builder: Create and manage complex AI workflows using an intuitive visual interface.
  • Broad Integration: Supports all major large language models (LLMs), vector databases, and a growing library of AI tools.
  • Python Customization: Offers limitless control with Python scripting for advanced customization.
  • Pre-built Components: Access hundreds of reusable flows and components to accelerate development.
  • Collaboration & Sharing: Run, share, and collaborate on projects in real-time, with options for both open-source and enterprise-grade cloud deployment.
  • API Deployment: Easily deploy flows as APIs for integration with other systems.
  • Extensive Connectivity: Integrate with popular data sources, vector stores, and third-party services (e.g., OpenAI, HuggingFace, MongoDB, Pinecone, Slack, and more).

Use Cases:

  • Rapid prototyping of AI agents and RAG applications
  • Enterprise AI workflow automation
  • Custom LLM-powered tools for data analysis, chatbots, and more
  • Collaborative AI development for teams

Langflow is ideal for developers, data scientists, and organizations seeking to accelerate AI application development with flexibility and scalability.

Information

  • Publisher
    Richard WangRichard Wang
  • Websitewww.langflow.org
  • Published date2025/07/02

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