How We Built a Content Recommendation System With Pgai and Pgvectorscale

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.