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What is SvectorDB?

SVectordb is a vector database tool designed to handle heavy lifting and scaling of products efficiently. With the ability to handle 1 vector to 1 million vectors, it offers a quick start tutorial in JavaScript and Python. The tool allows users to create and update items based on vectors or keys, making it easy to query for nearest existing vectors.

SVectordb boasts high availability with databases automatically replicated across multiple zones for real-time updates. Additionally, it offers serverless architecture with pay-per-request pricing, cloudformation support, and built-in vectorizers for text and images.

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⭐ SvectorDB Core features

  • ✔️ Vector database handling
  • ✔️ Scalable from 1 to 1 million vectors
  • ✔️ Create and update items based on vectors or keys
  • ✔️ High availability with automatic replication
  • ✔️ Serverless architecture with pay-per-request pricing

⚙️ SvectorDB use case ideas

  1. Leverage SVectordb for building personalized recommendation engines that can suggest products or content based on user preferences and behavior, utilizing its ability to efficiently handle and query millions of vectors for accurate results.
  2. Utilize SVectordb for developing advanced document and image search functionalities, enabling users to quickly find relevant information or files by leveraging the built-in vectorizers for text and images along with real-time updates replicated across multiple zones.
  3. Enhance content generation processes by implementing SVectordb for retrieval augmented generation, allowing for the creation of dynamic and engaging content by accessing and updating items based on vectors or keys with ease.

🙋‍♂️ Users of this tool

Data scientists
Machine learning engineers
Developers building recommendation systems
Developers building document or image search engines

💰 SvectorDB Pricing

Prices are subject to change. Always verify pricing information.

Free tier

$0

Queries

$5/million

Writes

$20/million

Storage

$0.25/gb/mo
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❓ SvectorDB FAQ

SVectorDB is a versatile vector database tool for managing vast datasets with ease. It facilitates vector-based item creation and updates, excels in high availability, utilizes serverless architecture, and caters to use cases like recommendation engines and image/document search.
Getting started with SvectorDB is easy! Simply visit the official website and sign up for an account to start.
SvectorDB uses a Freemium pricing model , meaning there is a free tier along with other options.
The typical users of SvectorDB include:
  • Data scientists
  • Machine learning engineers
  • Developers building recommendation systems
  • Developers building document or image search engines
Yes, SvectorDB provides an API that developers can use to integrate its AI capabilities into their own applications.
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