How We Built a Content Recommendation System With Pgai and Pgvectorscale
What's this blog post about?
Pondhouse Data built a content recommendation system using pgai and pgvectorscale for an SEO-related internal link building project. The company used the tools to create summaries and embeddings from texts, search for similar content, and filter results based on metadata. Key takeaways include the seamless integration of AI functionalities with PostgreSQL, enabling users to leverage the full capabilities of the database while incorporating AI features.
Company
Timescale
Date published
Oct. 1, 2024
Author(s)
Andreas Nigg
Word count
4111
Hacker News points
3
Language
English