📐 Learning path

Vector Databases & Semantic Search

Build high-dimensional vector search pipelines for RAG and AI Agents.

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Vector databases form the retrieval and memory engine of modern AI apps. In this path,
you will master storing and querying vector embeddings in PostgreSQL (pgvector), building
state-of-the-art HNSW graph indexes, and executing semantic search queries.

What you'll learn

  1. 1. Vector Databases & pgvector 🧪 Lab · 3 steps · 🔒 Subscriber ○
  2. 2. Vector Databases - Knowledge Check ❓ Quiz · 🔒 Subscriber ○