LangChain & Flowise on Ubuntu 26.04 with support by PCloudHosting
pCloudHosting LLC · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
<p>Flowise is a powerful low-code platform designed for building AI applications and workflows using LangChain components. By deploying Flowise with Docker on Ubuntu, users can avoid dependency conflicts and simplify installation and maintenance. Docker containers provide a secure and isolated runtime environment, making upgrades and backups easier while ensuring portability across different systems.</p>
<p>This setup allows developers and businesses to quickly launch Flowise, manage persistent data using Docker volumes, and expose the application through port 3000 for web access. The containerized approach eliminates the need to install Node.js or npm directly on the host machine, resulting in a cleaner and more reliable deployment.</p>
Show the rest of the publisher’s description (1 more line)
<p>Flowise supports integrations with popular AI models, vector databases, APIs, and external tools, making it suitable for chatbot development, retrieval-augmented generation (RAG), AI agents, and workflow automation projects. Docker-based deployment is recommended for production environments due to its ease of management, reproducibility, and scalability.</p>
Highlights
Highlighted by the publisher on AWS Marketplace.
Deploy Flowise in an isolated Docker container without installing Node.js or npm on the host system.
Build and manage LangChain-powered AI workflows through an intuitive drag-and-drop interface.
Agent build and provenance
See the full provenance
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Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
No Refund
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

