Vector databases are specialized databases designed for handling unstructured data and supporting modern AI workloads like generative AI, machine learning, and natural language processing. Unlike traditional databases focused on structured data and transactional workloads, vector databases excel in real-time similarity searches and relevance ranking. They are highly effective in advanced search, recommendation systems, and retrieval-augmented generation (RAG) for large language models. They also integrate traditional filtering capabilities to enhance search results and are optimized for scalability and speed in AI-driven applications.
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