Langflow + AgentQL: drag, drop, and automate Web data in AI pipelines

AgentQL is excited to announce its integration with Langflow, a visual builder that enables users to design and prototype AI workflows with ease. This collaboration allows developers and non-developers alike to harness AgentQL's web interaction capabilities within Langflow's intuitive drag-and-drop interface.

What is Langflow?

Langflow is a platform that offers a visual environment for constructing AI applications. Users can design workflows by connecting components such as language models, data processors, and now, AgentQL tools, without the need for extensive coding. This approach accelerates the development process and makes AI application design more accessible.

By incorporating AgentQL into Langflow, you can:

Extract Real-Time Web Data: Seamlessly integrate live web data into AI workflows, enabling applications to access and process up-to-date information.
Automate Web Interactions: Design agents capable of navigating websites, interacting with elements, and performing tasks such as form submissions or data extraction.
Enhance AI Capabilities: Combine AgentQL's web interaction tools with Langflow's components to create sophisticated AI systems that can retrieve, analyze, and act upon web-based data.

Integrating AgentQL with Langflow

To begin using AgentQL within Langflow:

Set Up Langflow: Follow the Langflow installation guide to run it locally.
Create a New Workflow: On the Langflow dashboard, click "+ New Flow" and choose a template or start with a blank flow.
Add AgentQL Component: In the left sidebar under Components, search for "AgentQL Query Data" and drag it into your workflow.
Configure AgentQL: Generate your AgentQL API key from the AgentQL Developer Portal and enter it into the "AgentQL API Key" field of the component.
Design Your Workflow: Connect the AgentQL component with other elements in your workflow to define how data flows and is processed.
Test and Deploy: Use Langflow's "Playground" feature to test your workflow and make adjustments as needed.

Support and Resources

AgentQL Documentation: Detailed guides and examples are available in our Langflow integration guide
Langflow Community: Join Langflow's Discord channel to connect with other users and developers.

Examples and Use Cases

To explore practical applications of the AgentQL and Langflow integration, consider the following examples:

News Aggregator Collect and summarize the latest news articles from various sources.
Price Deal Finder Monitor e-commerce websites for price drops and promotions.
Research Paper Assistant Retrieve and analyze academic papers based on specific topics or keywords.

These examples demonstrate how combining AgentQL's web capabilities with Langflow's workflow design can lead to powerful AI applications.

Try It Today

By enabling visual design of workflows that interact directly with the web, users can create dynamic and responsive AI applications tailored to their specific needs.

Try it yourself: Run an AgentQL example in Langflow now!

We can't wait to see what you build! Give us a shout out on Discord, X, or Bluesky!

—The TinyFish team building AgentQL