Vector Space Insights
The discussion explores the rapid growth of vector storage and search, highlighting that 70% of use cases are NLP-based, while images and niche applications make up the rest. The unique approach to presenting data in high-dimensional spaces is emphasized, along with the community's collaborative learning process to optimize user access through an API-first strategy.In this clip
From this podcast
Open Source Startup Podcast
E37: SeMI & Open-Source AI-Based Database Technology
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