Use cases / Machine learning and GenAI
Machine learning and GenAI
The ultimate real-time database to power Machine Learning workloads. With ClickHouse, it's easier than ever to unleash GenAI on your analytics data.
Simplify your data stack by eliminating the need for ML-specific data stores
Use lightning-fast aggregations for data preparation, powering model training at petabyte scale
Execute fast and efficient vector search with linear and approximate techniques
Plug-and-play pre-built models directly, from any provider
Develop with the ML tools you already love through our extensive suite of integrations
Find out why companies are using ClickHouse to power their AI workloads.
Best-in-class ingestion rates built to handle continuous streams of data so you can rely on the most up-to-date information to fuel accurate predictions and results.
Unparalleled query performance at scale. Query billions of rows in milliseconds. Reduce iteration times and maximize efficiency with your data.
Powerful automatic scaling that's designed to handle unpredictable workloads. Focus on machine learning without worrying about your infrastructure.
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Available as an in-process OLAP SQL engine for Python. Leverage the full power of ClickHouse, directly in your Python code with chDB.
ClickHouse for ML & AI
ClickHouse is purpose-built to make deriving insights from complex data effortless. No matter how much data you're working with. Whether you're extracting valuable information for model training and evaluation through aggregations, running inference through our User Defined Functions, or performing vector search, ClickHouse enables you to maximize data efficiency and unlock the power of AI for any application.
Create valuable experiences and insights
Whether you're building engaging personalization features, incorporating semantic search into your product, generating summarized insights from raw content automatically, or more, ClickHouse exposes the features you need to build AI-powered functionality with your data.
Unify your data stack
Eliminate the need for specialized data stores used for specific machine learning tasks, such as vector search. With ClickHouse, you can rely on one, unified, data store to power your analytics, run your machine learning workloads, and manage your ad-hoc querying, all in one place.
Manage data efficiently
ClickHouse's efficient management of resources helps maximize cost-effectiveness. Our column-oriented design delivers best-in-class compression ratios, reducing storage burden and ensuring blazing speed for even the most intensive ML workloads.
Use the tools you love
Leverage ClickHouse directly with your favorite ML tools. Our growing community of integrations includes popular machine learning frameworks, visualization tools, notebooks, and more.
Supporting references
- Vector Search with ClickHouse - Part 1
- Vector Search with ClickHouse - Part 2
- Video: ClickHouse for AI - Vectors, Embedding, Semantic Search, and more - Alexey Milovidov, ClickHouse
- Video: Vector Search In ClickHouse - Dale McDiarmid
- Using Langchain with ClickHouse
- Using Deepnote with ClickHouse
- Analyzing Hugging Face datasets with ClickHouse
- Using ClickHouse UDFs to integrate with OpenAI models
- Forecasting Using ClickHouse Machine Learning Functions
- Helicone's Migration from Postgres to ClickHouse for Advanced LLM Monitoring
- ClickHouse and the Machine Learning Data Layer
- Powering Feature Stores with ClickHouse
