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SvectorDB

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. All plans include 24/7 support.

Storage

$0.25 per GB per month

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

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Most Popular

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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FAQs

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.