Anyone bringing a RAG pipeline into production in 2026 cannot avoid vector databases: they are the backbone of retrieval-augmented generation, the dominant enterprise AI architecture. But the category is undergoing a profound transformation. In July 2026, Zilliz presented Milvus 3.0, an architecture that runs vector retrieval directly in the data lake; in March, Qdrant closed a $50 million Series B and is growing with agent workloads; and PostgreSQL with pgvector is taking over an ever larger share of the smaller use cases. The
For further actions, you may consider blocking this person and/or reporting abuse
Top comments (0)