RAG & Knowledge Retrieval for Media & Entertainment

Your documents do not arrive as clean markdown. They are scanned PDFs, merged cells, ten-year-old templates. The ingestion pipeline is most of the work, and we build it for the corpus you actually have.

In media & entertainment, rights, attribution and factual accuracy are reputational risks before they are legal ones. That single fact reshapes how rag & knowledge retrieval has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is highlight and clip generation, usually integrated against CMS. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Built by engineers who ship production systems, not by a practice that subcontracts the build. We hand over with runbooks, tests and a team that knows how it works, not a dependency.