Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. LangChain is a Python/JavaScript framework used to build applications powered by Large Language Models (LLMs).Flowise is a drag and drop UI tool built on top of LangChain.
Overview
This is a repackaged open source software product wherein additional charges apply for support. LangChain is an open source developer framework designed to simplify building applications powered by Large Language Models (LLMs). It provides modular components such as prompt templates, memory, agents, tools, and retrievers that can be chained together to create powerful AI workflows. It supports more than 100 LLM providers like OpenAI, Anthropic, Google, and open source models. Developers use LangChain to build chatbots, document Q&A systems, autonomous agents, RAG (Retrieval Augmented Generation) pipelines, and more. It works with Python and JavaScript or TypeScript .Flowise is an open source, low code nocode visual platform built on top of LangChain.js. It provides a drag and drop interface where users can connect AI components like LLMs, vector databases, memory, tools, and APIs visually as nodes to create complete AI workflows called "chatflows." It is ideal for developers and nontechnical users who want to build AI chatbots, RAG apps, and autonomous agents without writing extensive code. Flowise supports more than 100 integrations including OpenAI, Anthropic, Ollama, Pinecone, and more. It can be selfhosted and exposes built in REST APIs for easy integration into any application.
Highlights
- Flowise Built on LangChain
- Connects data, tools, APIs
- Low-code, fast prototyping
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
m5.large | $0.10 |
t2.small | $0.10 |
r5.large | $0.10 |
m3.large | $0.10 |
t2.xlarge | $0.10 |
m3.medium | $0.10 |
c3.large | $0.10 |
Dimensions summary
You pay by the hour based on the EC2 instance type you choose to run this software. The 21 dimensions map to different instance sizes across several families. The t2 and t3 lines offer general-purpose options ranging from nano through 2xlarge, letting you scale compute and memory as needed. The m3, m4, and m5 large instances add balanced compute. The c3, c4, and c5 large instances suit compute-heavy work. The r3, r4, and r5 large instances target memory-intensive tasks. Your hourly rate rises with instance capacity. You add AWS infrastructure charges separately.
Top-of-mind questions for buyers
You get a running EC2 instance with LangChain and Flowise pre-installed on Ubuntu 24.04. The hourly software charge maps to one running instance of the size you pick. Each virtual server counts as one instance. Larger instance types provide more CPU and memory, so their hourly rate is higher.
The hourly software charge applies only while the instance runs. Stopped instances do not accrue software charges. AWS may still bill you separately for attached storage and other infrastructure while the instance is stopped. To stop all software charges, terminate or shut down the instance.
The listing title notes support by pCloudHosting. The seller offers 24/7 support and monitoring as part of its cloud services. Support scope and any separate terms are not detailed in the pricing table. For exact support inclusions with your chosen instance, contact the vendor directly.
pcloudhostings.com
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No refund
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt/langchain #source venv/bin/activate #python3 -c "import langchain; print('LangChain version:', langchain.version)" #deactivate #cd /opt/cd flowise #docker ps # then access on browser:http://<YOUR_SERVER_IP>:3000
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
An integrated No-Code AI development suit which combines LangChains robust framework with Flowise intuitive low-code tools, empowering developers to accelerate development, testing, and deployment of advanced AI & LLM-powered applications.
This product has charges associated with it for seller support. Flowise is an open-source visual AI workflow builder that enables users to create, deploy, and manage LangChain-powered applications using an intuitive drag-and-drop interface. Running Flowise with Docker provides a simple, scalable, and isolated deployment environment for Ubuntu servers.
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