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SvectorDB

Serverless vector database optimized for AWS, offering high performance and affordability.

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About SvectorDB

SvectorDB is a fully serverless vector database designed specifically for AWS. It enables cost-efficient vector search with a pay-as-you-go model, allowing users to optimize their cloud expenses. Built for high performance, it is up to 20 times more affordable than comparable solutions, empowering developers to focus on their applications instead of database management.

How to Use

Start using SvectorDB by reviewing the comprehensive documentation and following the quick start guide. Code samples are available in JavaScript and Python. The platform also supports OpenAPI for integration with various programming languages. Users can create databases, add vector items, and perform searches by vectors or keys easily.

Features

Pay-per-request pricing model for cost efficiency

Free tier with limited usage

Real-time updates through upsert and delete operations

Support for AWS CloudFormation for infrastructure automation

Fast, high-performance vector search capabilities

Serverless architecture eliminates provisioning needs

Hybrid search combining vector and traditional queries

Built-in vectorizers for text and image data

Use Cases

Text and image retrieval

Retrieval-augmented generation (RAG)

Personalized recommendation systems

Best For

Software developersMachine learning engineersChatbot developers using RAGAI researchersStartupsData scientists

Pros

Supports AWS CloudFormation for deployment automation

Easy setup with comprehensive code samples and tutorials

Transparent communication with the development team

Serverless design removes provisioning and scaling hassles

Supports instant data updates

Includes pre-built vectorizers for text and images

More affordable than competing vector databases

Cons

Limited details on security measures

Small startup size may not suit enterprise needs

Default record limit of 1 million, adjustable via support

No snapshot or backup features available

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Storage

$0.25 per GB per month

Charges based on total database size, including data, keys, and vectors.

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Queries

$5 per million queries

Each query counts as one read operation, regardless of results or data scanned.

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Writes

$20 per million write operations

Each put or delete request counts as one write, irrespective of data size.

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Free Tier

Free

Includes up to 10 free indexes with 5,000 records each, without time restrictions.

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Frequently Asked Questions

Find answers to common questions about SvectorDB

What is SvectorDB?

SvectorDB is a serverless, high-performance vector database optimized for AWS, offering cost-effective search capabilities.

How is SvectorDB priced?

It uses a pay-per-request model, charging based on storage, queries, and write operations, making it flexible and scalable.

Does SvectorDB offer a free tier?

Yes, it provides a free tier with up to 10 indexes and 5,000 records per index, with no time limits.

What are the main limitations of SvectorDB?

Limitations include the absence of database snapshots and a default record limit of 1 million, which can be increased upon request.

Which use cases are ideal for SvectorDB?

It is suitable for recommendation engines, document and image search, and retrieval-augmented generation applications.