vector-databases

A comprehensive pricing analysis comparing four leading vector database platforms (Pinecone, Weaviate, Qdrant, ChromaDB) across their enterprise tiers, deployment options, and total cost of ownership models for AI/ML workloads.

Vector databases are specialized databases designed to store and query high-dimensional vectors, enabling efficient similarity searches for AI applications like semantic search and recommendation systems.