VectorDBZ is a desktop application designed to facilitate the exploration and debugging of vector databases like Qdrant, Weaviate, Milvus, Chroma, and pgvector in local and self-hosted environments. It addresses the challenge of inspecting vector stores without relying on cloud-based tools or cumbersome scripts by providing features such as browsing collections, running vector similarity searches, generating embeddings, and visualizing data using techniques like PCA, t-SNE, or UMAP. By storing all configurations and API keys locally, VectorDBZ enhances privacy and is particularly useful for debugging local RAG pipelines and semantic search setups. This matters because it empowers developers working with vector databases to efficiently manage and analyze data in a secure, local environment.
