SvectorDB

Cost-effective vector search purpose made for AWS: Pay only for what you use, optimize your cloud spend.

Freemium

Description

SvectorDB provides a serverless vector database solution designed natively for Amazon Web Services (AWS). Its primary focus is delivering cost-effective vector search capabilities, operating on a pay-per-request model which helps users optimize their cloud expenditure. The platform is engineered to simplify the development process, handling the complexities of scaling from prototype stages with a few vectors to production environments managing millions of vectors.

Key characteristics include its serverless architecture, eliminating the need for manual provisioning or scaling management. Updates, such as upserts and deletions, are reflected instantly, removing concerns about eventual consistency. SvectorDB supports hybrid search using Lucene/ElasticSearch style queries for filtering and integrates with AWS CloudFormation. Users can leverage built-in vectorizers for text and images or implement their own custom embeddings.

Key Features

Natively Serverless: Operates on a pay-per-request basis with no provisioning or scaling required.
AWS Focused: Purpose-built integration and optimization for the AWS ecosystem.
Cost-Effective Pricing: Pay only for requests made and storage used, with no minimum fees or upfront costs.
Instant Updates: Upserts and deletions are reflected immediately.
Hybrid Search: Supports Lucene/ElasticSearch style queries for filtering results based on key-value pairs.
CloudFormation Support: Allows integration into existing AWS CloudFormation templates.
Built-in Vectorizers: Offers integrated vectorizers for text and images, alongside support for custom embeddings.
Multi-Language Support: Provides official clients for JavaScript, Python, and an OpenAPI specification for other languages.