PostgreSQL for AI

Use PostgreSQL as a production AI datastore: pgvector, similarity search and indexing, hybrid search, RAG schema design, and scaling embeddings with replication, Citus, and quantization.

Beginner

PostgreSQL for AI — Beginner

Foundational five-day path: Postgres as an AI datastore, installing pgvector, similarity search in SQL, vector indexing, and a first Postgres-backed RAG system.

5 lessons

Intermediate

PostgreSQL for AI — Intermediate

Production RAG on Postgres: hybrid full-text + vector search, metadata filtering and query planning, RAG schema design, scaling embeddings with partitioning and quantization, and retrieval tuning.

5 lessons

Advanced

PostgreSQL for AI — Advanced

Operate Postgres vector workloads at scale: replication and read scaling, sharding with Citus, incremental embedding pipelines, production observability and drift, and a platform-design capstone.

5 lessons