Summary
In this episode, we explore embeddings and how they improve search and recommendations by converting text into numerical vectors. We'll set up a Rails 8 app with PostgreSQL + PG Vector, generate embeddings, and perform similarity searches.rails model ai machine learning search 28:15
Chapters
- Introduction (0:00)
- Setting up PostgreSQL (2:48)
- Understanding the Embeddings (5:24)
- Adding gems (7:53)
- Creating the embedding model (9:01)
- Making the background job (11:30)
- Generating the embeddings (15:48)
- Creating the similarity searches (18:17)
- Creating some test data (22:30)
- Creating a search form (23:39)
- Final thoughts (25:34)
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