Overview
LangChain & Flow 0.3.27 on Ubuntu 24.04 LTS with Free Maintenance Support by PCloudhosting
LangChain & Flow on Ubuntu 24.04 LTS is available through AWS Marketplace as a packaged open-source deployment with optional maintenance support from PCloudhosting. The AMI comes preconfigured, so you can launch an EC2 instance and start working right away without installing Python libraries or setting up environments.
LangChain is an open-source framework for connecting large language models such as OpenAI GPT, Anthropic Claude, and Hugging Face models with external tools, APIs, vector databases, and custom data sources. LangFlow adds a visual layer on top, letting you build and test workflows using a drag-and-drop interface instead of writing everything manually.
Once launched, the instance can be used to build chat applications, document Q&A systems, and automation workflows powered by language models.
Key Technical Highlights
- LangChain and LangFlow pre-installed on Ubuntu 24.04 LTS
- Supports building LLM-based apps such as chatbots, agents, and RAG systems
- Modular design with chains, agents, retrievers, memory, and tools
- Visual workflow builder through LangFlow
- Works with OpenAI, Anthropic, Hugging Face, and compatible endpoints
- Connects easily to vector databases and external APIs
- REST endpoints available for deploying workflows
- Suitable for both rapid prototyping and production pipelines
- Optional maintenance support from PCloudhosting (listing dependent)
What You Can Build
LLM Applications with Your Own Data
Connect models to:
- vector databases
- documents and files
- internal APIs
This setup is commonly used for Retrieval Augmented Generation projects that require answers grounded in real data.
Visual Workflows with LangFlow
LangFlow helps you:
- create prompts
- link components together
- test agents
- export workflows
This is especially useful during early development and experimentation.
Multi-Model Flexibility
Switch between OpenAI, Anthropic, Hugging Face, or self-hosted models without rebuilding your frontend or pipelines.
Custom Pipelines
LangChains modular design lets you replace models, retrievers, prompts, or tools at any time, allowing your application to evolve as requirements change.
AWS Marketplace Deployment Benefits
- AMI-based launch for fast EC2 provisioning
- No manual Python or dependency setup
- Runs inside your VPC
- Access controlled using Security Groups
- Storage backed by EBS
- Scale by resizing EC2 instances
- GPU instances supported for heavier workloads
Billing is handled through AWS Marketplace, so software and infrastructure charges appear on your regular AWS invoice.
Observability and Development
LangChain can be paired with tools like LangSmith (optional) to support:
- debugging agent behavior
- testing workflows
- monitoring applications in production
This helps teams understand how requests move through complex pipelines.
Support Model (PCloudhosting)
LangChain and LangFlow remain open source. Depending on the Marketplace listing, PCloudhosting may provide:
- update and patch guidance
- troubleshooting support
- operational help for production environments
Support availability depends on the selected offering.
Highlights
- Framework for building applications powered by large language models (LLMs).
- REST endpoints available for deploying and consuming workflows
- Easy integration with vector databases, documents, APIs, and external services
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.006 |
t2.micro | $0.001 |
t3.micro | $0.006 |
r3.large | $0.006 |
r4.large | $0.006 |
t3.large | $0.006 |
t2.large | $0.006 |
t3.medium | $0.006 |
t2.2xlarge | $0.006 |
t2.medium | $0.006 |
Vendor refund policy
No Refund
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
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 July 2025.
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 # python -c "import langchain; print(langchain.version)"
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.