The JusDB Database Engineering Blog

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.