Learn how vector databases store and retrieve high-dimensional embeddings at scale. Compare Pinecone, Weaviate, Qdrant, and pgvector for real-world use cases.
Key Concepts
01ANN Algorithms
02HNSW Indexing
03Metadata Filtering
04Embedding Models
05Namespaces
Study Note
This module covers the memory layer of ai systems. Work through the concepts in order — each one builds on the last. Return to this page as a reference after completing any related papers or implementations.