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# Oracle - Unleashing Video Intelligence

> Enable advanced video search with Oracle Database 23ai's AI Vector Search.

![](/_fern-img/0a409892f23462e497cab7e2c51acb5ddbfc12a3488010ca4082cf258c0c0366.webp)

**Summary**: This integration combines TwelveLabs' [Embed API](/docs/guides/create-embeddings) with Oracle Database 23ai's AI [Vector Search](https://www.oracle.com/database/ai-vector-search/) to enable advanced video understanding and search capabilities.

**Description**: The integration provides a unified architecture that combines vector embeddings and relational data storage, streamlining operations by eliminating synchronization needs, reducing maintenance costs, and enhancing query performance with lower latency. Utilizing Oracle’s enterprise-grade reliability and scalability, this solution supports semantic video search, cross-modal queries, and advanced analytics, enabling you to efficiently uncover insights from video content while maintaining robust performance as data scales.

**Code explanation**: Our blog post, [Unleashing Video Intelligence: A Tutorial for Integrating TwelveLabs Multimodal Embed API with Oracle Database 23ai](https://www.twelvelabs.io/blog/twelve-labs-and-oracle-23ai), provides a detailed walkthrough of the integration process.

**GitHub repo**: [Twelve Labs Oracle DB Integration](https://github.com/twelvelabs-io/twelvelabs-developer-experience/tree/main/integrations/Oracle)