Twelve Labs Inc.
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video-embeddings-evaluation-framework
video-embeddings-evaluation-framework PublicPytorch implementation of Twelve Labs' Video Foundation Model evaluation framework & open embeddings
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twelve-labs-claude-code-plugin
twelve-labs-claude-code-plugin PublicA lightweight plugin that integrates TwelveLabs video understanding capabilities directly into Claude Code - enabling semantic video search and dynamic video analysis.
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pegasus-1-eval
pegasus-1-eval Public archiveRepository for evaluating Pegasus-1 and video-language foundation models
Repositories
- tl-agentcore Public
Agentic Rough Cut / Highlight Reel pipeline on AWS Bedrock AgentCore + TwelveLabs Marengo/Pegasus
- multi-modal-video-search Public
Multi-modal video search and segment-level comparison using AWS Bedrock Marengo 3.0 embeddings and MongoDB Atlas. Features semantic search with fusion methods (RRF, weighted, dynamic routing), video difference detection with cosine + L2 similarity, and automated change classification.
- twelve-labs-claude-code-plugin Public
A lightweight plugin that integrates TwelveLabs video understanding capabilities directly into Claude Code - enabling semantic video search and dynamic video analysis.
- examples Public archive
- tl-solutions-samples Public
Sample code and workshop materials for the demonstration of multimodal video understanding with TwelveLabs
- tl-marengo-bedrock-s3 Public
Multimodal AI embeddings with TwelveLabs Marengo on Amazon Bedrock. Generate unified vector representations for text, video, audio, and images. Features cross-modal search, S3 Vector Store integration, and production-ready patterns for semantic similarity search.
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