A low-code visual builder for creating LLM (Large Language Model) applications using drag-and-drop components to chain AI models and tools.
Why host Flowise on Kamatera?
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Frequently asked questions
When running in production, we highly recommend using Queue mode with the following settings:
· 2 main servers with load balancing, each starting from 4vCPU and 8GB RAM
· 4 workers, each starting from 4vCPU and 8GB RAM
Before you start, ensure NodeJS is installed on your machine. You can configure auto scaling depending on the traffic and volume. For more detailed information, refer to the Flowise installation requirements.
The primary strength of Flowise lies in creating Retrieval-Augmented Generation (RAG) applications. This involves connecting large language models (LLMs) to proprietary, external knowledge bases, such as internal documents, website content, or structured databases. Flowise’s visual interface allows users to drag-and-drop components—like PDF loaders, vector stores, and prompt templates—to build sophisticated data ingestion and retrieval pipelines instantly. This ensures the resulting chatbot or AI assistant provides context-aware, grounded, and accurate answers based only on the designated source material, dramatically reducing hallucinations and enabling enterprise-ready internal knowledge bots and document Q&A systems.
Beyond simple Q&A, Flowise is the ideal tool for orchestrating autonomous AI Agents and complex, multi-step workflows. Agents are sophisticated LLM applications capable of planning, reasoning, and executing tasks by utilizing “Tools” (e.g., Google Search, API calls, database queries). Users can visually chain multiple steps together to automate complex processes, such as analyzing sentiment from an external source, summarizing the findings, and then sending a structured response via a custom webhook. This low-code orchestration capability transforms LLMs from simple text generators into powerful, automated decision-making and operational systems.
Kamatera provides a secure, private cloud environment. Since you maintain root access and control over the operating system, you can implement custom firewalls, security groups, and access controls tailored exactly to the needs of your Flowise deployment.
The Flowise one-click application is typically based on a stable, lightweight Linux distribution, such as Ubuntu Server. This distribution provides a secure and reliable environment that is optimized for running Node.js and the necessary components for Flowise.
Our system accepts credit/debit cards issued by your local bank branch with a cardholder’s name. We also accept payments through PayPal. We do not accept virtual, prepaid, or electronic cards.
You can use the Kamatera pricing calculator to select the exact server specifications you need and find out how much you can expect to spend.
Our 30-day free trial includes one server worth up to $100. You can set up your free VPS server, install an operating system, and select a location from one of our 20+ data centers worldwide.
If you choose monthly billing, you will receive your first invoice the month after the free trial expires. For example, if you start your free trial on November 20, the free trial will be until December 20. If you choose to continue using our services and don’t terminate your server, your first invoice will be sent out after January 1. That invoice will include a prorated charge for December 20-31, as well as the month of January.
Yes. One of Kamatera’s core features is instant scaling. You can adjust your vCPU, RAM, and storage up or down instantly through our management console to match your evolving needs, ensuring you only pay for what you use.
Deploying Flowise on a dedicated Kamatera cloud server ensures your application is production-ready. Key benefits include:
· Reliability: 24/7 uptime guarantee for uninterrupted service.
· Performance: Dedicated resources (CPU, RAM) prevent slowdowns, ensuring fast LLM response times.
· Scalability: Easily scale your server resources on-demand as your application usage grows.
· Accessibility: Your chatflows and API endpoints are globally accessible, not limited to your local network.