Real Time Deep Learning Vector Similarity Search

A production scale vector similarity search with only 100 lines of code

Implementing the infrastructure to dynamically update and query a similarity index like Facebook’s Faiss or Spotify’s Annoy is a huge implementation effort.

With the architecture in this article, we get it into production in minutes.

If you haven't worked in that topic space before, I can recommend checking out my other article before reading this one. It covers the basic terminologies that are needed.

Image Similarity with Deep Learning

Jump Directly to the Code

All the code for this article is ready to use in a GitHub repository. If you have questions, please reach out to me via LinkedIn.

GitHub - SaschaHeyer/Real-Time-Deep-Learning-Vector-Similarity-Search

Architecture

The Real-Time Vector Similarity Search includes a few building blocks.

• A Cloud Run service that provides an API. That API…