Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Weaviate is an open-source vector database that enables semantic search, AI-powered retrieval, and Retrieval-Augmented Generation (RAG) applications by storing and querying vector embeddings at scale.
Overview
Weaviate is a modern, open-source vector database designed for AI-native applications, semantic search, recommendation engines, and Retrieval-Augmented Generation (RAG) systems. It stores both structured data and vector embeddings, allowing developers to perform similarity searches, hybrid keyword-vector queries, and contextual information retrieval with high performance and scalability.
Built with cloud-native architecture, Weaviate supports multiple vectorization providers and machine learning models, making it easy to integrate with popular AI frameworks and large language models. It offers REST and GraphQL APIs, automatic indexing, horizontal scaling, and flexible schema management to support enterprise-grade AI workloads.
Whether deployed on-premises, in the cloud, or within containerized environments, Weaviate provides a robust platform for building intelligent search experiences, knowledge bases, recommendation systems, chatbots, and advanced data discovery applications.
Highlights
- Perform lightning-fast vector similarity and hybrid searches across millions of records.
- Perform lightning-fast vector similarity and hybrid searches across millions of records.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
t3.small | $0.03 |
c4.large | $0.03 |
c5.large | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
m3.large | $0.03 |
t2.xlarge | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 June/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 #cd ~/weaviate #sudo docker compose up -d #sudo docker ps #curl http://localhost:8080/v1/meta
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
Enterprise Vector Database Platform and Assurance Support Services sold as a Weaviate UNITS SKU that customer can flexibly use
The Weaviate SaaS Platform offers hassle-free deployment, hosting the vector database cluster within your AWS tenant and VPC. This end-to-end deployment includes the Weaviate Enterprise Terms (support) and Enterprise Service License Agreement, ensuring a comprehensive and supported SaaS experience for your organization.
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.
This product has charges associated with it for seller support. Weaviate is an open-source vector database that enables developers to store, search, and manage data using AI powered vector embeddings for semantic search, recommendation, and generative AI applications.
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