Flowise
Flowise is an open-source low-code platform for developers built for quick prototyping and deployment of customizable orchestration flows for language models (LLMs) and AI agents. Being low-code, Flowise greatly accelerates the development process for quick transition from testing to production. The platform seamlessly integrates LLMs with memory, dataloaders, cache, guardrails, and many other features. Use it to create autonomous agents that can make efficient use of various tools for great performance.
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Create a cloud network and a subnet to host the virtual machine (VM).
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Create a security group in the cloud network and configure the rules as follows:
Traffic direction Description Port range Protocol Source / Destination CIDR blocks IngressFlowise3000TCPCIDR0.0.0.0/0IngressSSH22TCPCIDR0.0.0.0/0EgressAny Egress0-65535AnyCIDR0.0.0.0/0 -
Get an SSH key pair for connection to the VM.
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In the Marketplace, find Flowise and click Create VM.
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Under Network settings, specify the cloud network, subnet, and security group you created earlier.
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Under Access, specify the username and public SSH key for connection to the VM.
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Complete setting up your VM and click Create VM.
Wait for the VM to be created and the application to be installed: this may take up to 10 minutes.
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Get your username and password to sign up to the app:
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To connect to Flowise’s web UI, open this URL in your browser:
http://<VM_public_IP_address>:3000 -
When connecting for the first time, enter your credentials and click Sign Up:
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Existing Username: Login you got earlier.
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Existing Password: Password you got earlier.
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Administrator Name: Admin’s name.
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Administrator Email: Admin’s email address for logging in to applications.
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Password: New password for logging in to applications.
Password requirements:
- May contain Latin letters, numbers, and special characters.
- The minimum length is 8 characters.
- Use at least one lowercase letter.
- Use at least one uppercase letter.
- Use at least one special character.
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Confirm Password: Re-enter the new password.
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- Creating AI-powered workflows without coding.
- Integrating LLMs with popular tools like LangChain, LlamaIndex, and over 100 other tools.
- Developing autonomous AI agents.
- Using custom tools based on AI agents.
- Extending and integrating apps using APIs, SDKs, and built-in chat solutions.
- Using open LLMs.
Yandex Cloud technical support is available 24/7. The types of requests you can submit and the relevant response times depend on your pricing plan. You can switch to the paid support plan in the management console. You can learn more about the technical support terms and conditions here.