PostgreSQL (pgvector)

Category : AI & MLOps

Relational database with pgvector extension for hybrid SQL + vector workloads.

What is this technology for?

Its role in production environments and why it is taught in our curriculums.

PostgreSQL is the most advanced open-source relational database; with pgvector it also serves as a vector database for hybrid SQL + semantic workloads.

What you will learn

The hands-on skills you will gain on this technology in our curriculums.

Design and query relational schemas
Use pgvector for semantic search
Combine SQL and vector queries
Deploy PostgreSQL on OpenShift

Latest News & Ecosystem Updates

Recent innovations, major releases, and key industry milestones in the ecosystem.

Database & Vector 2026-06

pgvector v0.8 / Postgres 17: Parallelized HNSW Indexing & 4x Vector Speedup

Enables seamless combination of ACID transactional relational data and AI vector embeddings in a single database.

Cloud Native DB 2026-03

CloudNativePG: Kubernetes Operator for Resilient High-Availability Postgres

Automated failover, point-in-time continuous recovery, and horizontal read-replica scaling on OpenShift.

Featured in the curriculum

Find this technology in the following modules of our Red Hat certified curriculums.

AS300 — AI Platform Engineer

View curriculum →

M11

Projet final (setup + sprints + dry-run)

Projet · Module 11 — AS300

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