Your search usually returns the wrong scene because of how the video was cut up before it was indexed. If you embed fixed time windows or every Nth frame, one vector can straddle two scenes, and the m
To run agentic search over a hierarchy of document clusters, first cluster the corpus: embed every document, then split the embeddings recursively into a tree, and give each cluster a label and a shor
You can keep your vectors in S3 and search them there. Three ways work today. AWS S3 Vectors stores embeddings in a special bucket type and answers similarity queries through an API. LanceDB writes a
Yes. Reverse video search exists, but the big search engines do not offer it as a single upload box. The usual workflow is to pull keyframes out of the video and run each one through a reverse image s
