SvectorDB
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About
SvectorDB is a serverless vector database designed for AWS, enabling cost-effective vector searches where users only pay for what they use. It focuses on simplicity and efficiency, allowing developers to scale from prototypes to production effortlessly. With support for various programming languages via an official OpenAPI specification, SvectorDB offers instant updates, hybrid search capabilities with Elasticsearch-style queries, and built-in vectorizers for text and images. The platform operates on a pay-per-request basis, devoid of provisioning or scaling requirements, making it ideal for businesses looking to optimize cloud spending. The tool also features transparent customer support practices, although it does have certain limitations such as no snapshot creation capabilities, maximum record limits, and a small company size that may concern some clients. It supports use cases like recommendation engines, document/image search, and retrieval-augmented generation. The pricing model includes a free tier for up to 5k records and competitive rates based on usage for storage, reads, and writes.
Platform
Task
Features
• serverless architecture
• built-in vectorizers for text and images
• openapi specification for multi-language support
• cloudformation integration support
• instant updates for upserts and deletions
• hybrid search with key-value filtering
• cost-effective, pay-per-use pricing
Pricing Plans
Standard Pricing
USD7.25 / per month• $5 per million queries
• $20 per million writes
• $0.25 per GB storage
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