Create a serverless vector database in under 120 seconds. Whether it's a RAG chatbot, document search, or recommendations, skip the complexities and use SvectorDB. With pay per request pricing and CloudFormation support, it's the right choice for your project
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Maker
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Originally I needed a vector database to help serve recommendations, but every product required launching a bunch of expensive servers. The rest of my stack was serverless and this was the most expensive part of my project. I wanted a product where I didn't have to provision anything and only had to pay per request. That's why I built SvectorDB
Congratulations on the launch!! I currently use LanceDB for RAG. What would you say are the advantages of SvectorDB over LanceDB?
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Maker
@iamjuanguillermo Thanks for your support! While LanceDB is a solid choice, SvectorDB stands out for dynamic data, efficient handling of cold starts, and maintaining consistent performance without impacting your application's latency. Due to your comment, we've made a detailed comparison article to dive into the differences and I'd love to hear your feedback on it. Check it out here https://svectordb.com/blog/lance...
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