How To Run Complex Queries With SQL in Vector Databases
We’re so glad you’re here. You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game.
Vector search looks for similar vectors or data points in a data set based on their vector representations. Unlike proprietary vector databases such as Pinecone, Milvus, Qdrant and Weaviate, MyScale is built on the open source, SQL-compatible ClickHouse database.
SQL is an effective tool for managing relational databases. Combining SQL and vectors provides a powerful approach to tackling complex AI-related questions. Users can execute traditional SQL and vector queries on structured data and vector embeddings (data) to address complex queries and analyze high-dimensional data in a unified, efficient manner.
Simple SQL queries are commands that perform straightforward data retrieval, usually from only one table at a time. Complex SQL queries go beyond standard requests by retrieving data from several tables and limiting the result set with multiple conditions.
