Monitoring vector databases
Vector databases store and retrieve high-dimensional vector embeddings for AI and machine learning applications. They enable fast similarity searches for items such as recommendation systems, semantic search, and retrieval-augmented generation (RAG).
Instana provides observability for vector database operations, tracking query performance, indexing efficiency, and resource utilization.
The following vector databases are supported: