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SvectorDB

★3.3
💬129
💲Freemium

SvectorDB is a serverless vector database optimized for AWS, providing cost-effective and high-performance vector search capabilities. It eliminates the need for database management by using a pay-per-request model and supports instant updates, hybrid search, and built-in vectorizers for text and images.

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Platform
web
AWSCloudFormationDatabaseDocument searchEmbeddingsHybrid SearchImage search

What is SvectorDB?

SvectorDB is a serverless vector database designed for AWS, offering cost-effective and high-performance vector search. It allows users to pay only for what they use, optimizing cloud spend. Built for developers and businesses, it enables efficient data management without the need for provisioning or scaling.

Core Technologies

  • Serverless architecture
  • Vector search
  • Pay-per-request pricing
  • Hybrid search (Lucene/ElasticSearch style)
  • CloudFormation support
  • Built-in vectorizers for text and images
  • OpenAPI specification

Key Capabilities

  • High-performance vector search
  • Cost-effective pay-per-request model
  • Instant updates with upserts and deletions
  • Support for hybrid search queries
  • Free tier with limited indexes
  • Integration with AWS CloudFormation

Use Cases

  • Building recommendation engines
  • Implementing document or image search systems
  • Enhancing retrieval augmented generation (RAG) workflows
  • Managing large-scale vector data efficiently
  • Developing applications requiring hybrid search capabilities

Core Benefits

  • Cost-effective with pay-per-request pricing
  • No need for provisioning or scaling
  • High-performance vector search
  • Support for instant updates
  • Free tier available for small-scale use
  • Easy integration with AWS CloudFormation

Key Features

  • Serverless architecture
  • Pay-per-request pricing model
  • High-performance vector search
  • Hybrid search with Lucene/ElasticSearch style queries
  • Instant updates (upserts and deletions)
  • CloudFormation support
  • Built-in vectorizers for text and images
  • Free tier with limited indexes

How to Use

  1. 1
    Read the documentation and follow the quick start tutorial.
  2. 2
    Use code examples in JavaScript or Python to get started.
  3. 3
    Leverage the OpenAPI specification for other programming languages.
  4. 4
    Create databases and set items with vectors.
  5. 5
    Query based on vectors or keys for fast results.

Pricing Plans

Storage

$0.25 / GB / month
The total size of your database and indexes, including keys, value, and vectors.

Queries

$5 / million
A single query counts as 1 read operation, regardless of the number of results returned or data scanned.

Writes

$20 / million
A single put or delete call counts as 1 write operation, regardless of the size of the item.

Free Tier

Free
Create up to 10 free tier indexes of up to 5k records, with no time limit.

Frequently Asked Questions

Q.What is SvectorDB?

A.SvectorDB is a serverless vector database built for AWS, designed for cost-effective and high-performance vector search.

Q.How is SvectorDB priced?

A.SvectorDB uses a pay-per-request pricing model, where you only pay for the requests you make. There are also costs for storage and writes.

Q.Does SvectorDB have a free tier?

A.Yes, SvectorDB offers a free tier with up to 10 free tier indexes of up to 5k records, with no time limit.

Q.What are the limitations of SvectorDB?

A.Limitations include no database snapshots, a default limit of 1 million records per database (can be increased), and the company's micro start-up size.

Q.What use cases are suitable for SvectorDB?

A.Suitable use cases include recommendation engines, document/image search, and retrieval augmented generation.

Pros & Cons (Reserved)

✓ Pros

  • Cost-effective compared to alternatives
  • Easy to use with code examples and tutorials
  • Serverless, no provisioning or scaling required
  • Instant updates with upserts and deletions
  • CloudFormation support
  • Built-in vectorizers for text and images
  • Transparent communication with the development team

✗ Cons

  • No database snapshots available
  • Default limit of 1 million records per database (can be increased by contacting support)
  • Micro start-up company size may be a concern for some
  • Lack of detail on security measures

Alternatives

No alternatives found.