Data Connector
Building AI Apps with Looker Data

Building AI Apps with
Looker Data: Vector Search
for Smarter Insights

Making Looker data AI-ready and accessible for smarter apps by seamlessly connecting Looker, Zilliz Cloud, and airbyte.

What is Looker and What's Its Data Like?

Looker is a business intelligence and data analytics platform that helps organizations visualize and analyze data. It processes structured data from databases and warehouses to generate dashboards, reports, and insights. Developers use its API to automate report generation, integrate analytics with other tools, and create custom data experiences. Challenges arise when incorporating semi-structured or unstructured data, such as logs or text fields, into structured analytical workflows. Looker’s flexibility and advanced visualization capabilities make it a key tool for data-driven decision-making.

Challenges for Building AI Apps with Looker Data

Unstructured Data
Much of Looker’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
Looker 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 Looker data.

Fueling Looker AI Apps with Vector Search for Smarter Insights

Making Unstructured Data Searchable
Vector search enables AI to explore unstructured Looker 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 Looker 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 Looker 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 Looker, 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 Looker 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.

Fuel your GenAI workloads with Airbyte and Zilliz Cloud

1.
Unstructured data from Looker 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 Looker, airbyte, and Zilliz Cloud.

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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 Looker and airbyte.

What is a vector database?
A vector database stores, indexes, and searches through large collections of vector embeddings—numeric representations of data points, particularly unstructured data like text, images, and videos. These vectors, often generated by machine learning or deep learning models, capture the features, patterns, and relationships within your unstructured data. Vector databases are widely used for various AI-powered tasks such as Retrieval Augmented Generation (RAG), semantic search, natural language processing (NLP), recommendation systems, and chatbots.
Why integrating Looker, airbyte, and Zilliz Cloud for your GenAI apps?
Integrating Looker, airbyte, and and Zilliz Cloud streamlines the flow of Looker data into Zilliz Cloud, a vector database optimized for similarity search. With airbyte automating the data extraction and loading process, you can easily sync Looker data into Zilliz Cloud for AI-driven analysis, such as customer segmentation, recommendation systems, and trend detection.
What types of Looker data can I store and search in Zilliz Cloud?
You can store and search any kind of structured, semi-structured, or unstructured Looker data that can be converted into vector embeddings. This includes customer profiles, sales opportunities, interactions, and product details. Once transformed into vectors, this data can be used for similarity search and other AI-driven tasks like recommendations or customer behavior analysis.
What is Zilliz Cloud?
Zilliz Cloud is a fully managed, high-performance vector database powered by Milvus designed to deliver exceptional scalability at an affordable price. It features AI-powered search with optimal strategies and no manual tuning, simplifying complex search tasks for seamless integration. Built with a cloud-native, distributed architecture, Zilliz Cloud ensures on-demand scalability and cost-efficient growth. This platform is also enterprise-ready, offering reliable performance and robust security, making it the perfect solution for businesses looking to build and scale their AI applications with confidence.
What is Airbyte?
Airbyte is an open-source data integration platform that enables data extraction, loading, and synchronization between different databases, data warehouses, and applications. It provides pre-built connectors for hundreds of data sources, allowing businesses to automate data migration and ensure seamless data flow between systems.

Sync your data from any sources to Zilliz Cloud

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Building AI Apps with Looker Data: Vector Search for Smarter Insights

What is Looker and What's Its Data Like?

Challenges for Building AI Apps with Looker Data

Unstructured Data

Data Silos

Scalability

Personalization

Fueling Looker AI Apps with Vector Search for Smarter Insights

Making Unstructured Data Searchable

Going Beyond Keywords with Semantic Search

Uncovering Hidden Relationships

Scalability for Real-Time AI

Connect Looker, Zilliz Cloud, and airbyte to Unlock Instant, AI-Ready Insights

Try This Integration for Free

Frequently Asked Questions

Sync your data from any sources to Zilliz Cloud

Building AI Apps with
Looker Data: Vector Search
for Smarter Insights