Weaviate on Ubuntu 24.04 with maintenance support by PCloudhosting

Weaviate 1.34.8 on Ubuntu 24.04 LTS with Free Maintenance Support by PCloudhosting

Weaviate on Ubuntu 24.04 LTS is available on AWS Marketplace as an open-source deployment with optional maintenance support from PCloudhosting. It gives teams a simple way to run a robust vector database on Amazon EC2 without dealing with complicated setup.

Weaviate is built for modern AI workloads. It stores your data and vector embeddings together, which makes it easy to run semantic search, recommendations, classification, and Retrieval-Augmented Generation (RAG). Instead of searching only by keywords, Weaviate lets you search by meaning.

Using the Marketplace AMI, you can launch Weaviate in minutes and start building AI features right away.

What Weaviate Is Commonly Used For

Teams use Weaviate to:

• Build semantic search over documents or content
• Create recommendation systems
• Power RAG pipelines for LLM applications
• Search text, images, or mixed data types
• Manage embeddings for AI projects
• Add intelligence to apps without complex pipelines

It works well for chat apps, knowledge bases, internal tools, and AI products.

Core Technical Capabilities

• Runs on Ubuntu 24.04 LTS
• Open-source vector database
• Stores objects and embeddings side by side
• High-dimensional similarity search
• Hybrid search (semantic plus keyword)
• Graph-style relationships between data objects
• JSON-like schema for flexible data models
• Supports text, images, and other media types
• Designed for RAG workflows
• Scales to large datasets with low-latency queries
• Works with vector embeddings from external models
• REST and client SDK support for easy integration

Built for Real AI Applications

Weaviate is made for developers who need practical AI features:

• Connects easily with LLM platforms like Amazon Bedrock or SageMaker
• Works with Kubernetes or standard EC2 deployments
• Supports multimodal data (text and images in the same system)
• Lets you filter results using structured metadata
• Keeps everything in one place (vectors, data, and metadata)

It makes it much easier to build production AI apps without juggling multiple databases.

AWS Marketplace Deployment Benefits

Running Weaviate on AWS gives you a clean setup:

• AMI-based launch for fast EC2 provisioning
• No manual installation
• Runs inside your VPC
• Access controlled using Security Groups
• Storage backed by EBS
• Scale by resizing EC2 or adding nodes
• Can integrate with SageMaker, Bedrock, EKS, S3, and Lambda
• One AWS bill for both software and infrastructure

You retain complete control of your environment while still enjoying the flexibility of the cloud.

Performance and Scaling

Weaviate is designed to handle:

• Millions to billions of vectors
• High query volumes
• Low-latency searches
• Multi-tenant workloads

You can start small and grow as your data increases.

Support Model (PCloudhosting)

Weaviate itself stays fully open source. Depending on your AWS Marketplace plan, PCloudhosting may help with:

• Updates and patch guidance
• Troubleshooting
• Operational support for production systems

Support depends on the selected listing.