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).
Helpful for people in the following professions
SvectorDB Uptime Monitor
Average Uptime
99.89%
Average Response Time
117.8 ms
Last 30 Days
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