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Sample appsIntegrationsDiscordPlaygroundDevEx repo
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GuidesSDK ReferenceAPI Reference
  • Get Started
    • Introduction
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    • Analyze videos
    • Segment videos
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      • Adobe Premiere Pro Plugin
      • ApertureDB - Semantic video search engine
      • Backblaze B2 - Media management application
      • Chroma - Multimodal RAG: Chat with Videos
      • Databricks - Advanced video understanding
      • LanceDB - Building advanced video understanding applications
      • Langflow - Building smart video agents
      • Milvus - Advanced video search
      • MindsDB - The TwelveLabs handler
      • MongoDB - Semantic video search
      • Oracle - Unleashing Video Intelligence
      • Pinecone - Multimodal RAG
      • Qdrant - Building a semantic video search workflow
      • Snowflake - Multimodal Video Understanding
      • Vespa - Multivector video retrieval
      • VideoDB - Real-time video understanding
      • Voxel51 - Semantic video search plugin
      • Weaviate - Leveraging RAG for Improved Video Processing Times
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Sample appsIntegrationsDiscordPlaygroundDevEx repo
ResourcesPartner integrations

Snowflake - Multimodal Video Understanding

Summary: This integration combines TwelveLabs’ Embed API with Snowflake Cortex to create advanced video search and summarization workflows.

Description: This integration enables you to generate multimodal video embeddings using TwelveLabs’ Embed API and store them in Snowflake tables with the VECTOR datatype for efficient similarity searches. By utilizing Snowflake Cortex Complete for summarization and other AI capabilities, you can build powerful applications such as semantic video search, content recommendations, and more.

Code explanation: Our blog post, Integrating TwelveLabs Embed API with Snowflake Cortex for Multimodal Video Understanding, provides a detailed walkthrough of the integration process.

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