Enterprise RAG with pgvector

This optional lab teaches you to use PostgreSQL with the pgvector extension for vector similarity search in RAG systems.

You'll learn to:

• Deploy PostgreSQL with pgvector on Kubernetes
• Create optimized vector indexes using HNSW
• Build a complete RAG pipeline using pgvector
• Compare performance between pgvector and Chroma
• Understand when to choose pgvector for enterprise RAG

pgvector is ideal for organizations already using PostgreSQL who want to add vector search without introducing new infrastructure.