LangChain is a versatile framework tailored for developers looking to create powerful applications using language models, particularly those built on GPT-like technologies. It simplifies the process of integrating language models with various data sources, APIs, and external services, enabling developers to construct complex workflows. LangChain’s primary focus is on the creation of “chains,” where multiple tasks (such as data processing, API calls, and model interactions) can be linked together to form end-to-end solutions. It also supports advanced functionalities like memory management, document retrieval, and query generation. By providing these building blocks, LangChain accelerates the development of AI-powered applications, such as chatbots, document processing systems, and question-answering frameworks, making it a powerful tool for leveraging the potential of AI in real-world use cases.

Flowise is a user-friendly, no-code platform designed to help both technical and non-technical users build, automate, and deploy machine learning and AI workflows with ease. It provides a drag-and-drop interface that allows users to design data pipelines and AI-driven processes without writing any code. Whether you’re working on data integration, transformation, or implementing complex machine learning models, Flowise simplifies the creation of these workflows. It offers a visual environment to define tasks, set triggers, and connect different systems, enabling users to automate processes across various applications. Flowise is ideal for building everything from simple automation tasks to sophisticated AI solutions, empowering a broad range of users—from business analysts to developers—to harness the power of AI in their workflows.

To subscribe to this product from Azure Marketplace and initiate an instance using the Azure compute service, follow these steps:

1. Navigate to Azure Marketplace and subscribe to the desired product.
2. Search for “virtual machines” and select “Virtual machines” under Services.
3. Click on “Add” in the Virtual machines page, which will lead you to the Create a virtual machine page.
4. In the Basics tab:

• • Ensure the correct subscription is chosen under Project details.
  • Opt for creating a new resource group by selecting “Create new resource group” and name it as “myResourceGroup.”

5. Under Instance details:

• • Enter “myVM” as the Virtual machine name.
  • Choose “East US” as the Region.
  • Select “Ubuntu 18.04 LTS” as the Image.
  • Leave other settings as default.

6. For Administrator account:

• • Pick “SSH public key.”
  • Provide your user name and paste your public key, ensuring no leading or trailing white spaces.

7. Under Inbound port rules > Public inbound ports:

• • Choose “Allow selected ports.”
  • Select “SSH (22)” and “HTTP (80)” from the drop-down.

8. Keep the remaining settings at their defaults and click on “Review + create” at the bottom of the page.
9. The “Create a virtual machine” page will display the details of the VM you’re about to create. Once ready, click on “Create.”
10. The deployment process will take a few minutes. Once it’s finished, proceed to the next section.

To connect to the virtual machine:

1. Access the overview page of your VM and click on “Connect.”
2. On the “Connect to virtual machine” page:

• • Keep the default options for connecting via IP address over port 22.
  • A connection command for logging in will be displayed. Click the button to copy the command. Here’s an example of what the SSH connection command looks like:
    “`
    ssh [email protected]
    “`

3. Using the same bash shell that you used to generate your SSH key pair, you can either reopen the Cloud Shell by selecting >_ again

or going to https://shell.azure.com/bash.
4. Paste the SSH connection command into the shell to initiate an SSH session.

Usage/Deployment Instructions

Anarion Technologies – LangChain & Flowise

Note: Search product on Azure marketplace and click on “Get it now”

Click on Continue

Click on Create

Creating a Virtual Machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.

After Process of Create Virtual Machine. You have got an Option Go to Resource Group 

Click Go to Resource Group

Click on the Network
Security Group: langchain-nsg

Click on Inbound Security Rule

Click on Add

Add Port 

Add Port

Destination Port Ranges Section*  (where default value is 8080)

3000

Select Protocol as TCP

Option Action is to be Allow

Click on Add     

Click on Refresh

Copy the Public IP Address

SSH into your terminal and run following commands:
$ sudo su
$ apt update
$ cd ../..

Open a Python shell

$ python3

$ flowise start

Open your browser and go to the server’s URL. In my case it’s http://IP_Address:3000

Welcome to the Flowise Dashboard

Thanks!!!