Optimizing vector search performance with pgvector

pgvector is a Postgres extension for vector similarity search, widely used in AI-powered applications. The post discusses the use of sequential scans and the Inverted File Index (ivfflat) for optimizing vector search performance. Sequential scans guarantee 100% recall but can be costly with larger datasets. ivfflat provides a faster, approximate nearest neighbor search by partitioning the dataset into clusters, which can be fine-tuned using lists and probes parameters. Experimentation with these parameters is crucial for achieving optimal search performance tailored to specific datasets.