[AI]▲ trending
Vector Databases, Explained for Backend Engineers
What embeddings are, why approximate nearest-neighbor search needs special indexes, and when you actually need a vector database versus a pgvector column.
Amit Kumar Singh3 min read
cd ~/category/ai/vector-search
What embeddings are, why approximate nearest-neighbor search needs special indexes, and when you actually need a vector database versus a pgvector column.
How HNSW and IVF vector indexes trade recall, latency, memory, and build cost for production semantic search.
Why metadata filters are essential for multi-tenant vector search, and how filter selectivity changes index design and retrieval quality.