Sold by: Waltsoft Inc.
Deployed on AWS
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Self-hosted embedding database for AI applications. Developer-friendly, lightweight vector store purpose-built for LLM apps, RAG pipelines, and semantic search.
Overview
Self-hosted embedding database for AI applications. Developer-friendly, lightweight vector store purpose-built for LLM apps, RAG pipelines, and semantic search.
SECURITY: This AMI binds services to localhost only. Configure a reverse proxy (Nginx/Caddy) with HTTPS for production access. Change all default passwords immediately after launch.
Highlights
- Simple Python and JavaScript SDKs - get started in 5 lines of code
- Purpose-built for LLM applications and RAG pipelines
- Automatic embedding generation with pluggable models
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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Features and programs
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/hour |
|---|---|---|
t3.large Recommended | t3.large instance | $0.035 |
t3.medium | t3.medium instance | $0.035 |
m5.large | m5.large instance | $0.035 |
r5.large | r5.large instance | $0.035 |
m5.xlarge | m5.xlarge instance | $0.035 |
Vendor refund policy
No refunds after free trial.
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
Initial release
Additional details
Usage instructions
SSH to instance as ubuntu. Application starts automatically via Docker on port 8000. Access at http://<public-ip>:8000 after configuring security group inbound rule.
Support
Vendor support
Community support via GitHub.
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.
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