A Vector Database stores and indexes high-dimensional vector embeddings—often generated by AI/ML models—to enable similarity search, recommendation, and retrieval-augmented generation (RAG). It’s critical for real-time AI applications, such as semantic search, chatbots, and generative AI systems.
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