Vector database
Understanding Vector Databases: The Backbone of Modern AI Search Introduction As artificial intelligence (AI) and machine learning (ML) technologies continue to evolve, traditional databases are facing limitations in handling complex, unstructured data like images, audio, and natural language. Enter vector databases —a powerful solution designed to manage and search high-dimensional vector embeddings efficiently. They are a foundational technology behind semantic search, recommendation systems, and generative AI tools. What Is a Vector Database? A vector database is a specialized type of database optimized for storing and querying vector embeddings. These embeddings are numerical representations of data (text, images, video, etc.) typically generated by AI models. They capture the semantic meaning of content and allow for more intelligent search and retrieval. Instead of querying for exact matches like in traditional databases, vector databases use similarity search —return...