Tag: embedding vector databases

In modern AI systems, the integration of vector databases with AI models is a significant advancement that enhances data storage, retrieval, and processing capabilities. Vector databases store high-dimensional vector embeddings generated by AI models, allowing for efficient similarity searches and complex operations in various AI-driven applications like recommendation systems, natural language processing (NLP), and computer…