Building AI Apps with
Clickhouse Data: Vector Search
for Smarter Insights
Making Clickhouse data AI-ready and accessible for smarter apps by seamlessly connecting Clickhouse, Zilliz Cloud, and airbyte.
What is Clickhouse and What's Its Data Like?
ClickHouse is an open-source columnar database optimized for online analytical processing (OLAP). It handles structured data in large-scale analytical workloads, making it ideal for real-time analytics and data warehousing. Its columnar storage enables fast query performance, even on massive datasets. Challenges arise when integrating semi-structured or unstructured data, such as logs or JSON files, into analytical workflows. Developers use ClickHouse for building dashboards, monitoring systems, and high-performance analytics applications. Its scalability and speed make it a popular choice for businesses with large-scale data needs.
Challenges for Building AI Apps with Clickhouse Data
Unstructured Data
Much of Clickhouse’s data is unstructured and multimodal. Standard database queries struggle with such text-heavy information, making it difficult to unlock its full potential.
Data Silos
Clickhouse data often exists in isolation, making it challenging to integrate with other enterprise systems or data sources.
Scalability
Massive amounts of user interactions are logged daily, and processing and querying this data in real time requires robust infrastructure, especially when building AI-driven applications.
Personalization
AI apps require deep insights into customer behavior to offer personalized experiences. However, standard searches and SQL queries don’t adequately surface the relationships and similarities hidden in Clickhouse data.
Fueling Clickhouse AI Apps with Vector Search for Smarter Insights
Making Unstructured Data Searchable
Vector search enables AI to explore unstructured Clickhouse data like text and images by comparing the meaning and context of each data point. This allows your AI apps to uncover actionable insights that were previously buried in complex records.
Going Beyond Keywords with Semantic Search
With vector similarity search, your AI apps are no longer limited to basic keyword matching. Vector search solutions like Zilliz Cloud perform deep, context-aware searches, identifying patterns and similarities across Clickhouse data that traditional methods can’t reach.
Uncovering Hidden Relationships
Vector search finds subtle trends and connections within unstructured data. By identifying these hidden patterns, your AI apps generate more accurate predictions, smarter recommendations, and better overall results.
Scalability for Real-Time AI
Designed for speed and scale, vector search engines like Zilliz Cloud can process massive Clickhouse datasets in real-time. Whether it’s handling billions of records or delivering instantaneous insights, vector search ensures your AI applications can perform at peak efficiency.
Connect Clickhouse, Zilliz Cloud, and airbyte to Unlock Instant, AI-Ready Insights
The seamless integration of airbyte and Zilliz Cloud takes the complexity out of building AI-powered apps using unstructured data from Clickhouse and any other sources. With just a few clicks, you can deploy fast, efficient, and scalable search solutions, empowering your AI applications to deliver smarter insights.

1.
Unstructured data from Clickhouse flows to airbyte.
2.
airbyte pre-processes and transforms the data into vector embeddings using OpenAI embedding services.
3.
The Zilliz Cloud connector channels the processed vector data into the Zilliz Cloud vector database in real time, ensuring instant availability for AI-powered tasks.
4.
Zilliz Cloud performs vector similarity searches to find relevant information to user queries.
5.
LLMs leverage the provided contextual information to generate meaningful, context-driven insights.
Try This Integration for Free
Make your data AI-ready by connecting Clickhouse, airbyte, and Zilliz Cloud.
Frequently Asked Questions
New to Zilliz Cloud integrations? You're not alone. Here are some answers to common questions about how Zilliz Cloud works with Clickhouse and airbyte.
What is a vector database?
Why integrating Clickhouse, airbyte, and Zilliz Cloud for your GenAI apps?
What types of Clickhouse data can I store and search in Zilliz Cloud?
What is Zilliz Cloud?
What is Airbyte?