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What is SvectorDB?
SvectorDB is a serverless vector database built from the ground up for AWS. It offers cost-effective vector search, allowing users to pay only for what they use and optimize their cloud spend. It is designed to be high-performance and up to 20x cheaper than alternatives, focusing on enabling users to concentrate on their product rather than database management.
How to use SvectorDB?
Users can get started with SvectorDB by reading the documentation and using the quick start tutorial. Code examples are provided in JavaScript and Python. The service offers an OpenAPI specification for use with other languages. Users can create databases, set items with vectors, and query based on vectors or keys.
SvectorDB’s Core Features
Serverless architecture Cost-effective pricing (pay-per-request) 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 available
SvectorDB’s Use Cases
- Recommendation engines
- Document/image search
- Retrieval augmented generation
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