FRAMES: Automating the archive end-to-end

Despite the availability of hundreds of generative AI tools, pre-production environments are still struggling to find a semantic archive search solution that is technically feasible and effective in the real world. Enter FRAMES.

The FRAMES project (Federated Retrieval, Agentic Media Environment and Software Defined Workflows) sets out to alleviate these pressures in a bold stroke, by designing an intelligent media production framework that dissolves traditional silos by standardising archival asset management and harnessing agentic AI to automate tagging, enhancement, and semantic retrieval. 

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