AI Application Development with LangChain, LangFlow & Flowsie pre-configured by Miri Infotech Inc. on Ubuntu

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Unlock the full potential of AI-driven applications with AI Application Development with LangChain, LangFlow & Flowsie. This powerful product suite is designed for developers, startups, and enterprises looking to integrate advanced language model capabilities into their applications with minimal friction.

With LangChain, you can create sophisticated AI workflows that connect language models to external APIs, databases, and computational tools. Automate complex processes, design multi-step chains, and build context-aware applications that understand and respond intelligently to user inputs.

LangFlow brings a visual interface to your AI development, simplifying the design, testing, and deployment of workflows. Its intuitive drag-and-drop system allows you to map out AI pipelines, experiment with model outputs, and optimize application logic without writing excessive code. This accelerates development while ensuring accuracy and flexibility.

Flowsie extends your capabilities by enabling real-time integration and interaction. It allows applications to fetch live data, process it intelligently, and make autonomous decisions, making your AI applications dynamic and highly responsive.

Together, these tools form a complete ecosystem for building AI-powered products such as chatbots, virtual assistants, recommendation systems, data processors, and interactive platforms. They are designed for scalability, ease of use, and seamless integration with existing systems.

Whether you are a software developer, AI engineer, or business looking to leverage AI, AI Application Development with LangChain, LangFlow & Flowsie provides the tools to innovate and deliver intelligent solutions efficiently. Transform ideas into production-ready AI applications with minimal effort and maximum impact.

You can subscribe to Mautic, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into your instance with username ubuntu and key pair to start the application

Username: ubuntu

ssh -i ssh_key.pem ubuntu@instance-IP

docker ps

http://<instance-ip-address>:3000

cd ~/Flow

cat flowise_admin_details.txt

change password after login go to Account setting.

You can check the Langchain

pip show langchain

Next

cd ~/Flow

conda activate Flow

langflow run –host 0.0.0.0 –port 7860

Take some time to load first time.

Step 2: Use your web browser to access the application at:

http://<instance-ip-address>:7860

Take some time to load.

 

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24X7 support provided for all the customers.

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Submit your Query: https://miritech.com/contact-us/

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    Highlights

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      🧩 LangChain Fundamentals: Learn how to chain LLMs, memory, and tools for powerful AI logic.

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      🎨 Visual Development with LangFlow: Build and test AI workflows using an intuitive drag-and-drop interface.

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      ⚙️ Automation via Flowsie: Integrate AI with real-world systems and automate business or creative processes.

    Application Installed