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Comparing Qdrant vs Pinecone: Vector Database Showdown Data forms the foundation upon which AI applications are built. Data can exist in both structured and unstructured formats. Structured data typically has well-defined schemas or inherent relationships. However, unstructured data, such as text, image, audio, or video, must first be converted into numerical representations known as vector embeddings. These embeddings encapsulate the semantic meaning or features of unstructured data and are in the form of high-dimensional vectors.