MyScale is an AI database that combines vector search with SQL analytics for fast and efficient insights from large multimodal vector datasets.

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MyScale is for developers and data teams building AI applications that need to search large collections of documents, images, or other data alongside related metadata. Its managed, SQL-compatible database stores structured records and vector embeddings together, so you can combine similarity search with SQL queries and filters instead of maintaining separate systems for each task. Use MyScale for retrieval-augmented generation (RAG), document question-answering, semantic and image search, and recommendation features. It supports vector search, full-text search, and hybrid queries that combine semantic matches with keyword relevance. SQL filtering and analysis can narrow results by attributes such as category or date, while the web console provides tools to manage database clusters, import data, and run SQL queries. It may suit teams familiar with SQL who want to add vector search to an AI data workflow.

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