Definition
Database optimized for storing, indexing, and querying high-dimensional vector embeddings for similarity search.
Detailed Explanation
A database optimized for storing, indexing, and querying high-dimensional vector embeddings, enabling efficient similarity searches crucial for applications like RAG, recommendation systems, and image retrieval.
Use Cases
Retrieval-Augmented Generation (RAG), recommendation engines, semantic search, image/audio similarity search, anomaly detection, facial recognition.