Database Insights

pgvector 0.8 delivers significant HNSW indexing improvements and new distance functions. Here is what changed and how to take advantage of it in production.

Use StarRocks for high-performance vector search with HNSW indexes. Learn real-time vector ingestion, hybrid queries combining vectors with analytics, and scaling strategies.

pgvector brings vector similarity search to PostgreSQL — enabling semantic search, recommendation engines, and RAG pipelines without a separate vector database.

Compare vector database options for AI workloads — pgvector in PostgreSQL, Pinecone, Weaviate, and Qdrant

Transform PostgreSQL into a vector database with pgvector. Learn embedding storage, ANN index creation, similarity search optimization, and AI/ML integration patterns.