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Mohit Varikuti
85e16eb31b
Adds an opt-in 'twelvelabs' GenAI provider implementing the embeddings role using TwelveLabs' Marengo multimodal model. Text and image inputs are embedded into a shared vector space, powering semantic search over event thumbnails. The provider only implements the embeddings role; descriptions/chat are left to other providers since Marengo is an embedding model. Marengo returns 512-dim vectors, which the existing GenAIEmbedding adapter pads to Frigate's 768-dim search schema. Includes no-network unit tests and a live test gated on TWELVELABS_API_KEY.