Langflow | Low-code AI builder for agentic and RAG applications

Langflow

3.5 | 13 | 0
Type:
Open Source Projects
Last Updated:
2025/11/01
Description:
Langflow is a low-code AI builder for creating and deploying AI agents and RAG applications. It supports major LLMs and vector databases, enabling rapid AI workflow development with visual flows and reusable components.
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low-code AI
AI agent builder
RAG applications
visual AI
AI workflow

Overview of Langflow

What is Langflow?

Langflow is an open-source, low-code AI builder designed to simplify the creation and deployment of AI agents and Retrieval-Augmented Generation (RAG) applications. It offers a visual, drag-and-drop interface that empowers both technical and non-technical users to rapidly prototype and deploy AI workflows.

How does Langflow work?

Langflow streamlines AI development by providing a visual canvas where users can connect pre-built or custom components. It supports all major Large Language Models (LLMs) and vector databases, allowing developers to easily integrate various AI tools and data sources. The platform converts visual flows into executable code, enabling seamless transition from prototype to production.

Here’s a breakdown of Langflow’s key functionalities:

  • Visual Flow Builder: Design AI workflows using a drag-and-drop interface.
  • Component Library: Access a growing library of AI tools, data sources, and models.
  • LLM and Vector Database Support: Integrate with major LLMs like GPT-3 and vector databases like Pinecone.
  • Python Customization: Customize components and workflows using Python code.
  • Agent Management: Run single or multiple agents with access to components as tools.
  • API Deployment: Deploy flows as APIs on a secure cloud platform.

Key Features of Langflow

  • Low-Code Development: Minimize boilerplate code with visual state flows and reusable components.
  • Limitless Control: Customize any aspect of the workflow using Python.
  • Collaboration: Share and collaborate on flows with other team members.
  • Seamless Deployment: Deploy AI applications from notebook to production with ease.
  • Integration with Existing Tools: Connect to hundreds of data sources, models, and vector stores, including Airbyte, Anthropic, Azure, and more.

Why Choose Langflow?

Langflow addresses the challenges of traditional AI development by offering a user-friendly interface and a comprehensive set of tools. It allows developers to focus on creativity and innovation rather than being bogged down by complex coding.

As quoted by Jonathan Blomgren, Studios Director at BetterUp, “Langflow lets us take complex product ideas and quickly bring them to life through visual flows that anyone can understand.” Similarly, Jan Schummers, Sr. Software Engineer at WinWeb, mentions that “Langflow has transformed our RAG application development, letting us focus more on creativity and less on complexity.”

Who is Langflow for?

Langflow is ideal for:

  • AI Developers: Accelerate AI workflow development with visual tools and reusable components.
  • Data Scientists: Prototype and deploy AI models without extensive coding.
  • Business Users: Build AI-powered applications with no-code/low-code solutions.
  • Teams: Collaborate on AI projects and share workflows across the organization.

How to use Langflow?

  1. Installation:

    • Install Langflow using pip: pip install langflow
  2. Sign Up:

    • Sign up for a free cloud account to deploy and scale applications.
  3. Visual Development:

    • Use the drag-and-drop interface to design AI workflows.
  4. Customization:

    • Customize components and workflows using Python code.
  5. Deployment:

    • Deploy flows as APIs on a secure cloud platform.

Langflow Pricing

Langflow offers both open-source and cloud deployment options. Details on cloud pricing can be found on their website, providing scalable and enterprise-grade solutions.

How Langflow Aligns with E-E-A-T

Langflow emphasizes Expertise, Experience, Authoritativeness, and Trustworthiness (E-E-A-T) by:

  • Expertise: Providing a platform that simplifies AI development, enabling experts to focus on complex problem-solving.
  • Experience: Offering a user-friendly interface that streamlines the development process, enhancing the overall user experience.
  • Authoritativeness: Integrating with industry-standard LLMs and vector databases, ensuring high-quality and reliable AI solutions.
  • Trustworthiness: Providing a secure cloud platform for deployment, ensuring data privacy and security.

Best way to accelerate AI workflows?

Langflow stands out as a robust tool for accelerating AI workflows due to its low-code nature, extensive integration capabilities, and user-friendly design. Whether you’re building AI agents or RAG applications, Langflow provides the necessary tools to streamline the development process and deploy AI solutions efficiently.

By leveraging Langflow, developers can reduce boilerplate code, customize workflows with Python, and collaborate effectively with team members, making it an invaluable asset in the AI development landscape.

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