Tinyvector is an embedding database that stores vectors in memory for fast similarity search and retrieval. It provides an HTTP API built with Axum for adding, querying, and managing vector indexes. The project targets small to medium datasets and plans to integrate with embedding models from providers like OpenAI, Cohere, and Hugging Face.