AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
1min snip
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Challenges and Business Implications of Working with Large Datasets in Vector Databases
Managing large datasets in vector databases can lead to trade-offs affecting both performance and relevancy, with significant drop-offs in relevancy and an influx of irrelevant data as the dataset size increases. Vector databases are in an arms race to optimize performance given the business payoff. All databases, including vector databases, are built on having very large datasets. It is essential to vectorize large datasets for feasible and cost-effective production at scale, as this is crucial for building a successful business around vector databases.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode