How ClickHouse Uses Hugging Face

ClickHouse version 25.

ClickHouse version 23. 12 introduces significant enhancements, including 21 new features, 18 performance optimizations, and 37 bug fixes.

This article explores the implementation of linear regression using ClickHouse's machine learning functions, focusing on predicting delivery times based on distance and pickup hour.

ClickHouse Release 23. 10 introduces a range of new features, performance optimizations, and bug fixes, enhancing its capabilities for data processing and analytics.

This article explores how to integrate ClickHouse with OpenAI models using User Defined Functions (UDFs) to enhance SQL workloads with AI capabilities.

This article explores how to analyze Hugging Face datasets using ClickHouse, specifically through the clickhouse-local tool.

This article is the second part of a series on vector search using ClickHouse, focusing on practical implementations and use cases.

This article introduces the concept of vector search using ClickHouse, exploring the significance of vectors and embeddings in enhancing search capabilities.