Sold by: Code Creator
Deployed on AWS
Code Creator Weaviate Vector AI Server deploys Weaviate Community Edition on Ubuntu as a ready-to-launch self-hosted vector database for semantic search, RAG, embeddings storage, and AI application backends. It exposes REST on port 8080 and gRPC on port 50051, and supports secure API based access through official client libraries and standard Weaviate interfaces. Note: this AMI provides the server backend only, so customers should plan to connect using their own API calls, client libraries, or external applications. This product has charges associated with it for the provision and deployment of the application and AMI support.
Overview
Code Creator Weaviate Vector AI Server provides a fast way to launch a self-hosted Weaviate Community Edition environment on AWS without building the stack from scratch. This AMI is designed for teams that want a dedicated vector database server for semantic search, retrieval augmented generation, embeddings storage, knowledge search, and AI-driven application backends running on their own EC2 infrastructure. Weaviate supports REST, GraphQL, and gRPC-based interaction patterns, with official client libraries available for common programming languages.
This AMI is prebuilt for a simple first-boot experience on Ubuntu with Docker-based deployment, exposing the standard Weaviate service ports of 8080 for HTTP and 50051 for gRPC. It is a strong fit for developers, data teams, and businesses that want a production-ready foundation for vector search and AI retrieval workflows while retaining control over their own AWS environment.
Customers can use this server with their own applications, custom workflows, or supported Weaviate client libraries. Official Weaviate clients help abstract the underlying REST, GraphQL, and gRPC calls, making it easier to integrate the server into Python, JavaScript, Go, Java, and other developer environments. This product provides the Weaviate server backend only. A built-in browser GUI is not included with this AMI. Customers should expect to connect from their own local machine, workstation, or application environment using API requests, official client libraries, or their own software stack.
Highlights
- Ready to launch Weaviate CE on Ubuntu with secure first boot setup and persistent storage
- Built for vector search semantic search rag backends and self hosted AI retrieval workflows
- Includes REST on port 8080 and gRPC on port 50051 with API based access for modern client libraries and applications
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 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.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.03 |
g5.xlarge | $0.03 |
t3.2xlarge | $0.03 |
c7i-flex.16xlarge | $0.03 |
g5.8xlarge | $0.03 |
c7i-flex.4xlarge | $0.03 |
c7i-flex.2xlarge | $0.03 |
c7i-flex.8xlarge | $0.03 |
c7i.12xlarge | $0.03 |
t3.xlarge | $0.03 |
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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.
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