Setup and installation of 'Flowise & LangChain' on AWS
This section describes how to launch and connect to No-Code LLM & AI Development using LangChain & Flowise on Amazon Web Services (AWS).
- Open No-Code LLM & AI Development using LangChain & Flowise VM listing on AWS marketplace
![/img/aws/flowise-langchain/marketplace.png](https://techlatest.net/img/aws/flowise-langchain/marketplace.png)
- Click on Continue to subscribe.
- Login with your credentials and follow the instruction.
- Subscribe to the product and click on Continue to configuration button.
- Select a Region where you want to launch the VM(such as US East (N.Virginia))
![/img/aws/flowise-langchain/region.png](https://techlatest.net/img/aws/flowise-langchain/region.png)
- Click on Continue to Launch Button.
- Choose Action: You can launch it through EC2 or from Website.(Let’s choose Launch from website)
![/img/aws/langchain-langflow-vm/launch.png](https://techlatest.net/img/aws/langchain-langflow-vm/launch.png)
- Optionally change the EC2 instance type. (This defaults to t2.large instance type, 2 vCPUs and 8 GB RAM.)
- Optionally change the network name and subnetwork names.
![/img/aws/langchain-langflow-vm/vpc.png](https://techlatest.net/img/aws/langchain-langflow-vm/vpc.png)
- Select the Security Group. Be sure that whichever Security Group you specify have ports 22 (for ssh), 3389 (for RDP), 80 (for HTTP) and 443 (for HTTPS) exposed. Or you can create the new SG by clicking on “Create New Based On Seller Settings” button. Provide the name and description and save the SG for this instance.
![/img/aws/desktop-linux-ubuntu2404/create-new-sg.png](https://techlatest.net/img/aws/desktop-linux-ubuntu2404/create-new-sg.png)
![/img/aws/langchain-langflow-vm/SG.png](https://techlatest.net/img/aws/langchain-langflow-vm/SG.png)
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Be sure to download the key-pair which is available by default, or you can create the new key-pair and download it.
![/img/aws/langchain-langflow-vm/key-pair.png](https://techlatest.net/img/aws/langchain-langflow-vm/key-pair.png)
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Click on Launch..
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No-Code LLM & AI Development using LangChain & Flowise will begin deploying.
- A summary page displays. To see this instance on EC2 Console click on EC2 Console link.
![/img/aws/flowise-langchain/deployed.png](https://techlatest.net/img/aws/flowise-langchain/deployed.png)
- On the EC2 Console page, instance is up and running. To connect to this instance through putty, copy the IPv4 Public IP Address
![/img/aws/flowise-langchain/public-ip.png](https://techlatest.net/img/aws/flowise-langchain/public-ip.png)
- Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to **SSH->Auth->Credentials **, click on Open. Enter ubuntu as userid
![/img/aws/desktop-linux/putty-01.png](https://techlatest.net/img/aws/desktop-linux/putty-01.png)
![/img/aws/nvidia-aiml/putty-02.png](https://techlatest.net/img/aws/nvidia-aiml/putty-02.png)
![/img/aws/langchain-langflow-vm/ssh-login.png](https://techlatest.net/img/aws/langchain-langflow-vm/ssh-login.png)
- Once connected, change the password for ubuntu user using below command
![/img/aws/desktop-linux-ubuntu2404/ssh.png](https://techlatest.net/img/aws/desktop-linux-ubuntu2404/ssh.png)
- Now the password for ubuntu user is set, you can connect to the VM’s desktop environment from any local Windows Machine using RDP protocol or Linux Machine using Remmina.
From your local windows machine, goto “start” menu, in the search box type and select “Remote desktop connection”. In the “Remote Desktop connection” wizard, copy the public IP address and click connect
![/img/aws/desktop-linux/rdp.png](https://techlatest.net/img/aws/desktop-linux/rdp.png)
- This will connect you to the VM’s desktop environment. Provide the username (e.g “ubuntu”) and the password set in the above “Reset password” step to authenticate. Click OK
![/img/aws/desktop-linux/rdp-login.png](https://techlatest.net/img/aws/desktop-linux/rdp-login.png)
- Now you are connected to the out of box No-Code LLM & AI Development using LangChain & Flowise environment via Windows Machine.
![/img/aws/langchain-langflow-vm/rdp-desktop.png](https://techlatest.net/img/aws/langchain-langflow-vm/rdp-desktop.png)
- To connect using RDP via Linux machine, first note the external IP of the VM from VM details page,then from your local Linux machine, goto menu, in the search box type and select “Remmina”.
Note: If you don’t have Remmina installed on your Linux machine, firstInstall Remmina as per your linux distribution.
![/img/gcp/common/remmina-search.png](https://techlatest.net/img/gcp/common/remmina-search.png)
- In the “Remmina Remote Desktop Client” wizard, select the RDP option from dropdown and paste the external ip and click enter.
![/img/gcp/common/remmina-external-ip.png](https://techlatest.net/img/gcp/common/remmina-external-ip.png)
- This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in above reset password step to authenticate. Click OK
![/img/gcp/common/remmina-rdp-login.png](https://techlatest.net/img/gcp/common/remmina-rdp-login.png)
- Now you are connected to out of box No-Code LLM & AI Development using LangChain & Flowise environment via Linux machine.
![/img/aws/langchain-langflow-vm/rdp-desktop.png](https://techlatest.net/img/aws/langchain-langflow-vm/rdp-desktop.png)
- To access the Flowise User interface, copy the public IP of the VM and paste it in the Browser.Hit enter.
Accept the security warning.
![/img/azure/flowise-langchain/browser-security-warning.png](https://techlatest.net/img/azure/flowise-langchain/browser-security-warning.png)
- Here you have your your Flowise UI available to you.
![/img/azure/flowise-langchain/flowise-ui.png](https://techlatest.net/img/azure/flowise-langchain/flowise-ui.png)
- You can create the new API key by navigating to API Keys from left pane and clicking on the Create Key button.
![/img/azure/flowise-langchain/api-key.png](https://techlatest.net/img/azure/flowise-langchain/api-key.png)
- To add the new chatflow, select chatflow from left pane and click on Add New button.
![/img/azure/flowise-langchain/new-chatflow.png](https://techlatest.net/img/azure/flowise-langchain/new-chatflow.png)
- On this page , you can select from various nodes to work with.
![/img/azure/flowise-langchain/chatflow-window.png](https://techlatest.net/img/azure/flowise-langchain/chatflow-window.png)
- To set the password for flowise UI, connect via terminal as shown in step 4 and run below command to open
sudo nano /var/lib/cloud/scripts/per-boot/flowise-perboot.sh
![/img/azure/flowise-langchain/open-perboot.png](https://techlatest.net/img/azure/flowise-langchain/open-perboot.png)
- It will open the flowise-perboot.sh file as shown below.
![/img/azure/flowise-langchain/flowise-perboot.png](https://techlatest.net/img/azure/flowise-langchain/flowise-perboot.png)
- In this file comment line no.8 and uncomment line 9 and go to end of this line. Replace “yourpassword” with actual password you want to use as shown in below screenshot.
![/img/azure/flowise-langchain/set-password-1.png](https://techlatest.net/img/azure/flowise-langchain/set-password-1.png)
![/img/azure/flowise-langchain/set-password-2.png](https://techlatest.net/img/azure/flowise-langchain/set-password-2.png)
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Once changes are made save the file by pressing CTRL+O and hit enter. Exit the file using CTRL+X.
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Now reboot the VM. Once VM is ready , access the Flowise UI. Now it should ask you for the username and password. Enter username as admin and password you set in above step 22.
![/img/azure/flowise-langchain/flowise-login.png](https://techlatest.net/img/azure/flowise-langchain/flowise-login.png)
![/img/azure/flowise-langchain/flowise-ui-after-login.png](https://techlatest.net/img/azure/flowise-langchain/flowise-ui-after-login.png)
- The Flowise setup file is available at /home/ubuntu/setup/Flowise directory.
![/img/gcp/flowise-langchain/flowise-setup-directory.png](https://techlatest.net/img/gcp/flowise-langchain/flowise-setup-directory.png)