Free Course on Vector Similarity Search and Faiss
Essentials for the future of machine learning
For the past few months I’ve been working with Pinecone on a series of articles and videos covering the essentials of vector similarity search.
The course introduces the idea and theory behind vector search, how to implement several algorithms in plain Python, and how to implement everything we learn efficiently using Facebook AI Similarity Search (Faiss).
Video playback alone totals six hours — all packed full of content. If we consider article read-time on top of that, what we have is a treasure trove of learning materials for all-things vector similarity search.
The price for all of this?
It’s free.
Course Content
The course is split into three parts — although you can click through the course as you wish, this is the order that we think makes the most sense.
Part One — Introduction
In part one we introduce similarity search, taking a look at a few of the most popular methods and…
