AI & knowledge
Weaviate Vector AI Server
Run a dedicated Weaviate Community Edition backend for vector search and AI retrieval applications.
Sold by Code Creator on AWS Marketplace
Built for your workflow
Developers and data teams can use the server as a vector database for semantic search, embeddings storage and retrieval-augmented generation backends. Applications connect through supported APIs or official Weaviate client libraries.
What’s included
- Self-hosted Weaviate Community Edition deployment on Ubuntu using Docker.
- Persistent storage setup and first-boot configuration.
- HTTP service on port 8080 and gRPC service on port 50051.
- API-based access supporting REST, GraphQL and gRPC interaction patterns.
What Code Creator adds
Code Creator packages the Docker deployment, first-boot configuration, persistent storage and service configuration in an EC2-ready AMI. The offering supplies the database backend for integration with your own application environment.
From launch to first use
- Launch the AMI and follow the current Marketplace first-boot and network instructions.
- Connect from your workstation or application using a compatible client or API request.
- Configure a collection and test your own vector storage and retrieval workflow.
Use the current Marketplace usage instructions for the full launch procedure and required instance settings.
Before you launch
A built-in browser GUI is not included. Restrict service ports to the clients that need them and verify authentication configuration. You supply the application and embedding workflow; the draft does not promise bundled models, automatic document ingestion or GPU acceleration.
Review current software pricing, AWS infrastructure costs and the supported configuration on AWS Marketplace.