

Svectordb
Overview :
SvectorDB is a serverless vector database designed to maximize agility and minimize costs. It addresses database pain points, allowing you to focus on scaling your product from 1 vector to 1 million vectors.
Target Users :
SvectorDB is suitable for any application scenario requiring vector-based data retrieval. It is applicable to multiple fields, including recommendation engines, document image search, and generative enhancement.
Use Cases
Use SvectorDB's recommendation engine to recommend relevant products to users based on their preferences.
Leverage SvectorDB's document image search functionality to perform deep searches based on semantic and visual similarity.
Utilize SvectorDB's generative enhancement feature to improve the quality and relevance of generated content based on context.
Features
Automatic Backups: Database is automatically replicated across multiple availability zones.
Instant Updates: Insert and delete operations are reflected immediately, no need to worry about eventual consistency.
Native Serverless: Pay-per-request billing, no need for provisioning or scaling.
CloudFormation Support: Integrate SvectorDB into your existing CloudFormation templates.
Built-in Vectorization: Utilize built-in text and image vectorizers, or use custom embeddings.
How to Use
Create a database on SvectorDB
Use the setItem function to create or update an item
Use the query function to query based on vectors or keys
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