Langflow

Langflow is an open-source platform for building AI applications through a visual interface. You create workflows by connecting building blocks called components. Each component performs a specific task, such as loading data, talking to an AI model, or storing information in a database.

The platform supports agents that can make decisions, use tools, and perform multiple tasks automatically. It also enables Retrieval Augmented Generation (RAG), which lets AI applications search through your documents and provide accurate answers based on your specific data.

There is no cost to use Langflow. It's completely free and open-source. You only pay for external services you connect to it, such as AI model providers like OpenAI or cloud hosting if you choose to deploy your application online.

Using Langflow is straightforward, even if you're not a programmer. Here's how to get started:

• Download and install Langflow using a simple command, or use it directly in your web browser through their cloud platform.

• Open the visual editor and select from pre-built templates or start with a blank canvas to create your own workflow.

• Drag components from the sidebar onto your workspace. These include chat inputs, AI models, data sources, and output displays.

• Connect components by drawing lines between them to define how data flows through your application.

• Configure each component by adding your API keys and adjusting settings like which AI model to use or how to process data.

• Click the run button to test your workflow. Use the built-in chat interface to interact with your AI application immediately.

• Export your completed workflow as code or deploy it as an API that other applications can use.

• Visual drag-and-drop workflow builder

• Support for multi-agent AI systems

• RAG (Retrieval Augmented Generation) capabilities

• Compatible with all major AI models

• Custom component creation with Python

• Automatic API generation for workflows

• Real-time testing and debugging tools

• Integration with vector databases

• Pre-built templates and examples

• Open-source and completely free

• Desktop and web-based versions