Collections: one embedding model
Create Collection now takes an optionalembedding_model.
It defaults to omni_retriever — OmniRetriever, the 3072-dim multilingual vector space — and is
currently the only accepted value, so you can keep omitting the field entirely.- Per-collection model selection is retired: every new collection indexes into the same vector space, and live streams no longer need a collection created a particular way.
- Collections created before this change keep the model they were created with, so
Move Video across two different models still returns
409.
Video Datalake
First preview of the video data lake — 41 endpoints:- Collections with fixed embedding (OmniRetriever), optional safety detection and face recognition.
- Ingestion — upload by URL, file, or resumable session; attach live streams.
- Async operations — uniform
202 + Operationmodel with polling and HMAC-signed webhooks. - Moments & derived content — captions, transcripts, frames, clips, titles, summaries, speakers, entities.
- Search — semantic, keyword, hybrid, and image, returning moment lists.
- Face library and safety-detection events.
Agents & tools
Operate the Datalake without writing glue code:- MCP Server — connect Claude, Cursor, or any MCP client and drive the lake in natural language.
- CLI and a Claude Code / Codex plugin for terminal and agent workflows.