SvectorDB

SvectorDB is a serverless vector database built for AWS, offering cost-effective and high-performance vector storage and retrieval. It allows users to focus on scaling their product without managing the database.

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At a glance

Pricing

Freemium · Usage-based

Free tier

Yes

API

Yes

Skill level

Technical

About

What is SvectorDB?

SvectorDB is a serverless vector database specifically designed for AWS, providing a high-performance and cost-effective solution for vector storage and retrieval. It enables developers to build and scale products from prototype to production with minimal code, handling the underlying database management. Key features include hybrid search capabilities using Lucene/ElasticSearch style queries, instant updates for upserts and deletions, and native serverless architecture with pay-per-request pricing. SvectorDB also offers built-in vectorizers for text and images, or the option to bring your own embeddings. It integrates with CloudFormation and provides official OpenAPI specifications for broad language support, making it a flexible choice for various AI applications.

Best used for

Ideal for developers and data scientists who need to build recommendation engines, power document/image search, and enhance Retrieval Augmented Generation (RAG). Especially valuable for those seeking a cost-effective, high-performance, and serverless vector database solution on AWS.

Common actions

store vectors

query vectors

build AI applications

manage embeddings

scale databases

Capabilities

Key features

Serverless vector database
Hybrid search capabilities
Instant updates
Built-in vectorizers
CloudFormation support
Pay-per-request pricing

Target Audience

developerdata scientiststartup founder

Integrations

aws-cloudformation

Pricing & Plans

Freemium · Usage-based

Not publicly disclosed. Check svectordb.com for current pricing.

FAQs

What are the limitations of SvectorDB's free tier?

The free tier allows for up to 10 sandbox indexes, each with a limit of 5,000 records. These sandbox databases are free but have specific limitations, which can be reviewed on the limits page for more detailed information.

Does SvectorDB support custom embeddings?

Yes, SvectorDB allows users to bring their own embeddings. In addition to supporting custom embeddings, it also provides built-in vectorizers for common data types like text and images, offering flexibility for various use cases.

What is the maximum record limit per database in SvectorDB?

To ensure consistent performance, SvectorDB has a default limit of 1 million records per database. This limit can be increased for specific needs, but users must contact support to request an increase.

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Coding & Development › Backend & APIs Coding & Development › Database & SQL

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