Langflow

Visit Tool

Langflow is a low-code visual builder for creating LangChain-style flows and RAG applications. It simplifies the development and deployment of AI-powered agents and workflows.

Claim this tool

1View

At a glance

Pricing

—

Free tier

—

API

—

Skill level

Mixed

About

What is Langflow?

Langflow is a low-code visual builder specifically designed for constructing LangChain-style flows and Retrieval-Augmented Generation (RAG) applications. It provides a visual interface that enables both developers and citizen developers to easily build and deploy AI-powered agents and complex workflows. The tool aims to streamline and simplify the entire development process for AI applications, making advanced AI capabilities more accessible.

Best used for

Building and deploying AI-powered agents and workflows, especially those based on LangChain and RAG architectures, with a low-code visual approach.

Common actions

Build AI applications

Create RAG systems

Develop LangChain flows

Deploy AI agents

Automate AI workflows

collaborationworkflowsopen-sourcelow-code/no-codeautomated workflowdeepfakeface swappinggithub copilot"AI Agents"

Capabilities

Key features

Low-code visual builder
LangChain-style flows
RAG application development
Deploy AI agents
Simplified AI workflows

Target Audience

DevelopersCitizen DevelopersAI EngineersData Scientists

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Is Langflow free to use or is there a paid tier for advanced features or commercial deployment?

Langflow is an open-source project, meaning the core software is free to use and modify. While there isn't a direct paid tier for the tool itself, users might incur costs for the underlying AI models (e.g., OpenAI, Anthropic) or cloud infrastructure used to deploy their Langflow applications.

What are the typical deployment options for applications built with Langflow?

Langflow applications can be deployed in various ways. Since it's a visual builder for LangChain, the generated flows can often be exported or integrated into existing Python applications. Users commonly deploy them on cloud platforms like AWS, Google Cloud, or Azure, or on private servers, depending on their infrastructure and scalability needs.

Can Langflow integrate with custom or proprietary large language models (LLMs) beyond the commonly supported ones?

Yes, Langflow is designed to be extensible. While it offers out-of-the-box support for popular LLMs, users can integrate custom or proprietary models by developing custom components or wrappers that adhere to the LangChain interface, allowing them to be used within the visual builder.

Trending

Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce