VideoVector is an AI-powered media intelligence platform that transforms large video, audio, and image libraries into timestamped, schema-driven metadata, multimodal embeddings, and grounded MediaRAG/VideoRAG workflows so teams can search, discover, and act on precise moments and evidence; it uses model-based segmentation, vision/speech/text extraction, configurable extraction engines (tunable for speed, quality, or cost with providers like Marengo and Pegasus), vector and semantic search, and agentic retrieval to make clips, highlights, summaries, and structured JSON outputs automatically available to downstream systems — ideal for sports, broadcasting, security, archives, and any team that needs scalable, explainable AI to surface and operationalize media insights.