> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.twelvelabs.io/v1.3/docs/resources/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.twelvelabs.io/_mcp/server.

# Resources

## Docs

- [Platform overview](https://docs.twelvelabs.io/docs/resources/platform-overview.md): Overview of the TwelveLabs Video Understanding Platform.
- [Playground](https://docs.twelvelabs.io/docs/resources/playground.md): Sandbox environment for exploring and testing video search and analysis features.
- [Upload and manage assets](https://docs.twelvelabs.io/docs/resources/playground/upload-and-manage-assets.md): Upload and manage video, image, and audio files as assets.
- [Manage indexes](https://docs.twelvelabs.io/docs/resources/playground/manage-indexes.md): Create and manage indexes to organize your videos.
- [Search](https://docs.twelvelabs.io/docs/resources/playground/search.md): Search video content using natural language or images.
- [Entity search](https://docs.twelvelabs.io/docs/resources/playground/search/entity-search.md): Identify and locate specific persons in your videos.
- [Analyze videos](https://docs.twelvelabs.io/docs/resources/playground/analyze-videos.md): Use the Playground to analyze videos and generate text based on their content.
- [Segment videos](https://docs.twelvelabs.io/docs/resources/playground/segment-videos.md): Use the Playground to transform raw video into structured, timestamped data by defining the segments and fields that matter to your application.
- [Visualize embeddings](https://docs.twelvelabs.io/docs/resources/playground/visualize-embeddings.md): Visualize semantic relationships between video clips and text queries in a 2D space.
- [Examples](https://docs.twelvelabs.io/docs/resources/playground/examples.md): Experiment with sample videos to explore the Playground without uploading your own content.
- [TwelveLabs SDKs](https://docs.twelvelabs.io/docs/resources/twelve-labs-sd-ks.md): TwelveLabs Python and Node.js SDKs.
- [Frequently asked questions](https://docs.twelvelabs.io/docs/resources/frequently-asked-questions.md): Frequently asked questions.
- [Use cases](https://docs.twelvelabs.io/docs/resources/use-cases.md): Learn how organizations utilize TwelveLabs to enhance their video content operations.
- [Sample applications](https://docs.twelvelabs.io/docs/resources/sample-applications.md): Experiment with functional sample applications demonstrating platform capabilities.
- [Partner integrations](https://docs.twelvelabs.io/docs/resources/partner-integrations.md): Notable integrations expanding platform functionality. Adobe, Pinecone, Weaviate, and more.
- [Adobe Premiere Pro Plugin](https://docs.twelvelabs.io/docs/resources/partner-integrations/adobe-premiere-pro-plugin.md): Search videos with natural language and auto-generate chapters in Adobe Premiere Pro.
- [ApertureDB - Semantic video search engine](https://docs.twelvelabs.io/docs/resources/partner-integrations/aperture-db-semantic-video-search-engine.md): Create semantic video search by combining the TwelveLabs Embed API with ApertureDB.
- [Backblaze B2 - Media management application](https://docs.twelvelabs.io/docs/resources/partner-integrations/backblaze-b-2-media-management-application.md): Add video search to media asset management using TwelveLabs and Backblaze B2.
- [Chroma - Multimodal RAG: Chat with Videos](https://docs.twelvelabs.io/docs/resources/partner-integrations/chroma-multimodal-rag-chat-with-videos.md): Build RAG-based video Q&A by combining the TwelveLabs Embed API with Chroma.
- [Databricks - Advanced video understanding](https://docs.twelvelabs.io/docs/resources/partner-integrations/databricks-advanced-video-understanding.md): Create video understanding apps combining the TwelveLabs Embed API with Databricks.
- [LanceDB - Building advanced video understanding applications](https://docs.twelvelabs.io/docs/resources/partner-integrations/lance-db-building-advanced-video-understanding-applications.md): Create advanced video understanding apps using the TwelveLabs Embed API with LanceDB.
- [Langflow - Building smart video agents](https://docs.twelvelabs.io/docs/resources/partner-integrations/langflow-building-smart-video-agents.md): Build video AI workflows visually using Langflow's builder with TwelveLabs.
- [Milvus - Advanced video search](https://docs.twelvelabs.io/docs/resources/partner-integrations/milvus-advanced-video-search.md): Build semantic video search with the TwelveLabs Embed API and Milvus vector DB.
- [MindsDB - The TwelveLabs handler](https://docs.twelvelabs.io/docs/resources/partner-integrations/minds-db-the-twelve-labs-handler.md): Search and summarize video content directly within MindsDB using TwelveLabs.
- [MongoDB - Semantic video search](https://docs.twelvelabs.io/docs/resources/partner-integrations/mongo-db-semantic-video-search.md): This integration combines the TwelveLabs Embed API with MongoDB Atlas Vector Search to create an efficient semantic video search solution.
- [Oracle - Unleashing Video Intelligence](https://docs.twelvelabs.io/docs/resources/partner-integrations/oracle-unleashing-video-intelligence.md): Enable advanced video search with Oracle Database 23ai's AI Vector Search.
- [Pinecone - Multimodal RAG](https://docs.twelvelabs.io/docs/resources/partner-integrations/pinecone-multimodal-rag.md): Build RAG-based video Q&A combining TwelveLabs APIs with Pinecone vector DB.
- [Qdrant - Building a semantic video search workflow](https://docs.twelvelabs.io/docs/resources/partner-integrations/qdrant-building-a-semantic-video-search-workflow.md): This integration combines the TwelveLabs Embed API with Qdrant Vector Search to create an efficient semantic video search solution.
- [Snowflake - Multimodal Video Understanding](https://docs.twelvelabs.io/docs/resources/partner-integrations/snowflake-multimodal-video-understanding.md): This integration combines the TwelveLabs Embed API with Snowflake Cortex to create advanced video search and summarization workflows.
- [Vespa - Multivector video retrieval](https://docs.twelvelabs.io/docs/resources/partner-integrations/vespa-multivector-video-retrieval.md): This integration combines the TwelveLabs Analyze and Embed APIs with Vespa to create an efficient solution for semantic video search.
- [VideoDB - Real-time video understanding](https://docs.twelvelabs.io/docs/resources/partner-integrations/video-db-real-time-video-understanding.md): Build intelligent video monitoring systems with Pegasus and VideoDB streaming.
- [Voxel51 - Semantic video search plugin](https://docs.twelvelabs.io/docs/resources/partner-integrations/voxel-51-semantic-video-search-plugin.md): Perform semantic video searches across modalities with Voxel FiftyOne plugin.
- [Weaviate - Leveraging RAG for Improved Video Processing Times](https://docs.twelvelabs.io/docs/resources/partner-integrations/weaviate-leveraging-rag-for-improved-video-processing-times.md): Build efficient RAG systems for video content using Weaviate vector database.
- [From the community](https://docs.twelvelabs.io/docs/resources/from-the-community.md): Applications built by developers. See platform versatility across industries.
- [Communication and analysis](https://docs.twelvelabs.io/docs/resources/from-the-community/communication-and-analysis.md): Example projects to advance communication strategies and analytical insights.
- [Content creation](https://docs.twelvelabs.io/docs/resources/from-the-community/content-creation.md): Example projects to enhance and streamline content creation workflows.
- [Discovery and search](https://docs.twelvelabs.io/docs/resources/from-the-community/discovery-and-search.md): Example projects to unlock insights and enable precise content retrieval.
- [Education and training](https://docs.twelvelabs.io/docs/resources/from-the-community/education-and-training.md): Example projects to transform education and training experiences.
- [E-learning](https://docs.twelvelabs.io/docs/resources/from-the-community/e-learning.md): Example projects to enhance educational experiences.
- [Gaming and entertainment](https://docs.twelvelabs.io/docs/resources/from-the-community/gaming-and-entertainment.md): Example projects to innovate gaming and entertainment experiences.
- [Interactive content](https://docs.twelvelabs.io/docs/resources/from-the-community/interactive-content.md): Example projects to create interactive content experiences.
- [Media and entertainment](https://docs.twelvelabs.io/docs/resources/from-the-community/media-and-entertainment.md): Example projects to transform how audiences interact with digital content using video understanding AI.
- [Social and public goods](https://docs.twelvelabs.io/docs/resources/from-the-community/social-and-public-goods.md): Example projects to create social and public goods.
- [Sports](https://docs.twelvelabs.io/docs/resources/from-the-community/sports.md): Example projects to enhance sports analysis and viewer engagement.