Data Engineering
Data Engineering
intermediate
Vector Databases and Semantic Search at Scale
How approximate nearest-neighbour indexes actually work (HNSW, IVF, product quantisation) and what you trade for speed. Metadata filtering, hybrid dense plus sparse retrieval, reciprocal rank fusion, re-indexing strategies for embedding migrations, and keeping a vector store in sync with a relational system of record.
DO
Daniel Okafor
4.8
$79.00
10 hours