Vector Search with ClickHouse - Part 2

This summary provides an overview of how to use ClickHouse Cloud for vector search and demonstrates its capabilities through a series of examples. The text explains the benefits of using ClickHouse for vector search, including its ability to combine vector matching with filtering on metadata and aggregating on metadata. It also discusses the importance of choosing the right distance function, such as cosine or L2 distance, depending on the specific use case. The summary highlights the features of ClickHouse's experimental secondary indices feature, including inverted indices, which can improve query performance by limiting the number of rows to be searched. Additionally, it mentions the introduction of user-defined functions (UDFs) in ClickHouse, which allow users to extend the behavior of the database by creating custom functions that can leverage SQL constructs and functions. The summary concludes by emphasizing the benefits of using ClickHouse Cloud for vector search and encourages readers to try out its features with a 30-day free trial and pay-as-you-go pricing model.

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