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MyScaleDB is an open-source SQL vector database designed for building large-scale AI and machine learning applications that require both analytical queries and semantic vector search. The system is built on top of the ClickHouse database engine and extends it with specialized indexing and search capabilities optimized for vector embeddings. This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform. MyScaleDB enables developers to perform vector similarity searches using standard SQL syntax, eliminating the need to learn specialized vector database query languages. The database is optimized for high performance and scalability, allowing it to handle extremely large datasets and high query loads typical of production AI applications.
Features
- SQL-compatible vector database designed for AI applications
- Built on the ClickHouse analytical database engine
- High-performance vector similarity search using SQL queries
- Support for structured, unstructured, and vector data types
- Scalable architecture capable of handling massive datasets
- Optimized for RAG systems, recommendation engines, and semantic search
Project Samples
