SvectorDB

SvectorDB is a cutting-edge serverless vector database designed specifically for AWS, offering a cost-effective solution for vector searches. With a pay-per-request pricing model, SvectorDB allows users to optimize their cloud spending while providing powerful features such as instant updates, hybrid search capabilities, and built-in vectorizers for text and images. Whether you're building recommendation engines, document/image search systems, or enhancing generative models, SvectorDB simplifies the process, enabling you to scale from prototypes to production seamlessly.

Key Features of SvectorDB

1. Serverless Architecture: SvectorDB operates without the need for provisioning or scaling, allowing you to focus on your application rather than infrastructure management.

2. Cost-Effective Pricing: With a pay-per-request model, you only pay for the requests you make, eliminating upfront costs and minimum fees.

3. Instant Updates: Changes made to your database are reflected instantly, ensuring you always have the most current data without worrying about eventual consistency.

4. Hybrid Search Capabilities: Utilize Lucene/ElasticSearch style queries to filter results based on key-value pairs, enhancing your search capabilities.

5. Built-in Vectorizers: SvectorDB provides built-in vectorizers for both text and images, or you can bring your own embeddings to maximize the power of the database.

6. CloudFormation Support: Easily integrate SvectorDB into your existing CloudFormation templates for seamless deployment.

7. Free Tier: Start with up to 10 free tier indexes of 5k records each, allowing you to explore the database without any financial commitment.

8. High Performance: With an average query latency of just 9ms and a recall rate of 97.4% at 32, SvectorDB ensures fast and reliable performance for your applications.

SvectorDB FAQs

What is SvectorDB?

SvectorDB is a serverless vector database designed for AWS, enabling efficient vector searches with a pay-per-request pricing model.

How does the pricing work?

You only pay for the requests you make, with no minimum fees or upfront costs. The pricing is based on storage, queries, and writes.

Can I use my own embeddings?

Yes, SvectorDB allows you to bring your own embeddings or utilize the built-in vectorizers for text and images.

What are the use cases for SvectorDB?

Common use cases include recommendation engines, document/image search, and retrieval-augmented generation.

Is there a free tier available?

Yes, SvectorDB offers a free tier that allows you to create up to 10 indexes of 5k records each, with no time limit.