A Guidance on Multi-Vector Video Search with TwelveLabs Marengo
by Eric Kim, Staff Solution Architect
A technical deep dive into optimizing multi-vector query routing with Marengo. The paper compares two core approaches — fused embeddings vs. multi-vector retrieval — and explores three strategies for determining modality weights, helping developers choose the right architecture for their video AI search pipelines.
A Guidance on Multi-Vector Video Search with TwelveLabs Marengo
by Eric Kim, Staff Solution Architect
A technical deep dive into optimizing multi-vector query routing with Marengo. The paper compares two core approaches — fused embeddings vs. multi-vector retrieval — and explores three strategies for determining modality weights, helping developers choose the right architecture for their video AI search pipelines.
A Guidance on Multi-Vector Video Search with TwelveLabs Marengo
by Eric Kim, Staff Solution Architect
A technical deep dive into optimizing multi-vector query routing with Marengo. The paper compares two core approaches — fused embeddings vs. multi-vector retrieval — and explores three strategies for determining modality weights, helping developers choose the right architecture for their video AI search pipelines.
