AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Vector databases (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
The Importance of Optimizing Your Database for Indexing Speed
The goal of indexing is to design efficient data structures and store the vectors in a way that they can be queried efficiently and at scale. The query stage involves you taking the user input, transforming that into a vector just like you did your raw data. Depending on the size of your data, this could take hours or even days. It's not unheard of through fear of indexing periods of the order of days.
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