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報導· Unknown· 發布於 2026年9月10日
Amazon Bedrock Knowledge Bases 推出 Marengo Embed 3.0，支援多模態媒體搜尋
Amazon Bedrock Knowledge Bases 現已提供 TwelveLabs Marengo Embed 3.0，讓使用者以自然語言搜尋影片、圖片、音訊與文字內容。AWS 的操作示範涵蓋 Amazon S3 匯入、分段設定、語意查詢與排序後的媒體結果；服務目前列出在兩個 AWS 區域提供，並按儲存、擷取及模型呼叫計費。
情報判讀
訊號摘要
Marengo Embed 3.0 已在 Amazon Bedrock Knowledge Bases 正式推出，會將影片、音訊、圖片與文字共同編碼至 512 維向量空間。受管理的 Knowledge Bases 可處理 MP4、MOV 影片，以及 JPEG、PNG 圖片和音訊軌，並負責儲存、匯入、嵌入、重新排序與擷取；示範則以 2022 年 FIFA 世界盃決賽的 10 分鐘片段說明設定流程。
為什麼值得注意
這項整合把多模態內容的嵌入、索引與擷取納入 Amazon Bedrock Knowledge Bases 的受管理流程，應用程式可透過自然語言查詢影片、圖片和音訊，而不必為每種媒體分別建立搜尋流程。兩個 AWS 區域的可用性與儲存、擷取及模型呼叫費用，也構成導入時需要評估的部署範圍與成本條件。
來源證據
先看主要證據，再查看佐證來源與來源脈絡。
主要證據
1Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0
Eric Kim
“TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media.”
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