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SvectorDB
Serverless vector database built for AWS

What is SvectorDB?

SvectorDB is a serverless vector database solution specifically engineered for AWS environments. The platform enables efficient vector search capabilities while maintaining a cost-effective approach through its pay-per-use pricing model, eliminating the need for upfront costs or minimum fees.

The service features built-in vectorizers for text and images, hybrid search capabilities using Lucene/ElasticSearch style queries, and instant updates for upserts and deletions. With native CloudFormation support and the ability to handle up to 1 million vectors per database, SvectorDB provides a robust infrastructure for vector search operations while maintaining consistent performance.

Features

  • Hybrid Search: Filter results using Lucene/ElasticSearch style queries
  • Instant Updates: Real-time reflection of upserts and deletions
  • Built-in Vectorizers: Support for text and image vectorization
  • CloudFormation Support: Integration with existing AWS templates
  • Pay-per-request Pricing: No minimum fees or upfront costs
  • Multi-language Support: JavaScript, Python, and OpenAPI compatibility

Use Cases

  • Recommendation Engines
  • Document Search
  • Image Search
  • Retrieval Augmented Generation

FAQs

  • What are the current limitations of SvectorDB?
    SvectorDB has a default limit of 1 million records per database, does not offer user-created snapshots, and is run by a micro start-up team.
  • What is included in the free tier?
    The free tier includes up to 10 free tier indexes of up to 5k records each, with no time limit.
  • What are the pricing components?
    Pricing includes storage ($0.25/GB/month), queries ($5/million), and writes ($20/million).

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