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Building AI Systems on Postgres: An Inside Look at pgai Vectorizer

AI Engineering Podcast

CHAPTER

Optimizing AI Workflows with PGAI

This chapter delves into the development and core components of PGAI, which enhances AI systems through efficient embedding workflows in Postgres databases. It discusses how PGAI integrates machine learning models directly within Postgres, manages resource-intensive tasks, and ensures observability in the embedding generation process. The chapter also covers the importance of structured data, scalability, and model evaluation, offering insights into balancing database capabilities with evolving developer needs.

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