Course Introduction
This episode develops a multimodal RAG approach for images and text, focusing on Cohere Embed 4's unified embedding space, long context, Matryoshka dimensions, multilingual support, and enterprise deployment. It shows how visual content can be indexed for cross-modal semantic retrieval and question answering.
Total video duration: 16 min 26 sec.
Companion Git repository: https://github.com/cohere-ai/cohere-developer-experience.
COURSE RECORDINGS
Course Video
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BILIBILI01
FULL SESSION
2025 Evolution Ep. 14: Image RAG Knowledge Retrieval System
16 MIN
Watch on the Original Platform